 otb::ViewerModel::_ObjectsTracked | |
 itk::Function::Abs< TInput, TOutput > | |
 itk::Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >::AbsCompare | |
 itk::Functor::AbsoluteValueDifference2< TInput1, TInput2, TOutput > | |
 itk::Functor::AbsoluteValueDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
 itk::Accessor::AbsPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_abs() function of a value |
 itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > | |
 itk::Functor::AccessorFunctor< TInput, TAccessor > | Convert an accessor to a functor so that it can be used in a UnaryFunctorImageFilter |
 itk::Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > | |
 itk::Functor::Acos< TInput, TOutput > | |
 itk::Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Accessor::AcosPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_acos() function of a value |
 itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > | |
 itk::Functor::Add1< TInput, TOutput > | |
 itk::Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > | |
 itk::Functor::Add2< TInput1, TInput2, TOutput > | |
 itk::Functor::Add2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
 itk::Function::Add3< TInput1, TInput2, TInput3, TOutput > | |
 itk::Function::Add3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > | |
 itk::Functor::AddConstantTo< TInput, TConstant, TOutput > | |
 itk::Functor::AddConstantTo< TInputImage::PixelType, TConstant, TOutputImage::PixelType > | |
 itk::Concept::AdditiveOperators< T1, T2, T3 > | |
 itk::Accessor::AddPixelAccessor< TPixel > | Simulates the effect of adding a constant value to all pixels |
 itk::Accessor::AddPixelAccessor< TImage::PixelType > | |
 otb::Functor::AlphaBlendingFunctorBase< TInputPixel1, TInputPixel2, TOutputPixel > | |
  otb::Functor::AlphaBlendingFunctor< TInputPixel1, TInputPixel2, TOutputPixel > | Implements simple blending |
 otb::Functor::AlphaBlendingFunctorBase< InputPixel1Type, InputPixel2Type, OutputRGBPixelType > | |
  otb::Functor::AlphaBlendingFunctor< InputPixel1Type, InputPixel2Type, OutputRGBPixelType > | |
 otb::Functor::AlphaBlendingFunctorBase< itk::RGBAPixel< TInputInternalPixel1 >, itk::RGBAPixel< TInputInternalPixel2 >, itk::RGBAPixel< TOutputInternalPixel > > | |
  otb::Functor::AlphaBlendingFunctor< itk::RGBAPixel< TInputInternalPixel1 >, itk::RGBAPixel< TInputInternalPixel2 >, itk::RGBAPixel< TOutputInternalPixel > > | |
 otb::Functor::AmplitudePhaseToRGBFunctor< TInput1, TInput2, TInput3, TOutput > | Function object to compute a color representation of a radar image |
 itk::AnchorErodeDilateLine< TInputPix, TFunction1, TFunction2 > | Class to implement erosions and dilations using anchor methods. This is the base class that must be instantiated with appropriate definitions of greater, less and so on. There is special code for cases where the structuring element is bigger than the image size that aren't particularly anchor related, but use the same data structures. Hopefully these sections occupy a very minor proportion of the time |
 itk::AnchorOpenCloseLine< TInputPix, THistogramCompare, TFunction1, TFunction2 > | Class to implement openings and closings using anchor methods. This is the base class that must be instantiated with appropriate definitions of greater, less and so on |
 AnchorUtilities | Functionality in common for anchor openings/closings and erosions/dilation |
 itk::Functor::AND< TInput1, TInput2, TOutput > | |
 itk::Functor::AND< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
 otb::Wrapper::ApplicationHtmlDocGenerator | This class genertaes the documentation of a class usung the class doc attributes |
 boost::array< T, N > | |
 itk::Functor::Asin< TInput, TOutput > | |
 itk::Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Accessor::AsinPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_asin() function of a value |
 itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > | |
 itk::Concept::Assignable< T > | |
 otb::Functor::AssociativeSymmetricalSum< TInput1, TInput2, TOutput > | Functor used with the AssociativeSymmetricalSumImageFilter |
 otb::Functor::AssociativeSymmetricalSum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
 itk::Functor::Atan< TInput, TOutput > | |
 itk::Functor::Atan2< TInput1, TInput2, TOutput > | |
 itk::Functor::Atan2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
 itk::Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Accessor::AtanPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_atan() function of a value |
 itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > | |
 itk::Functor::AttributeLabelObjectAccessor< TLabelObject > | |
 otb::Functor::AttributesMapLabelObjectAccessor< TLabelObject > | Allows to acces a given field of an AttributesMapLabelObject |
 otb::Functor::AttributesMapLabelObjectAccessor< TImage::LabelObjectType > | |
 otb::Functor::AttributesMapMeasurementFunctor< TLabelObject, TMeasurementVector > | This class allows to build a measurement vector from an AttributesMapLabelObject |
 otb::Functor::AttributesMapMeasurementFunctor< LabelObjectType, MeasurementVectorType > | |
 itk::AutoPointer< TObjectType > | Implements an Automatic Pointer to an object |
 itk::AuxVarTypeDefault< TPixel, VAuxDimension, VSetDimension > | Level set auxiliary variables type information |
 itk::BandNode< TIndexType, TDataType > | |
 otb::Functor::BandStatsAttributesLabelObjectFunctor< TLabelObject, TFeatureImage > | Functor to compute bands statistics attributes |
 otb::Functor::BandStatsAttributesLabelObjectFunctor< TImage::LabelObjectType, otb::Image< double, 2 > > | |
 itk::BarycentricCombination< TPointContainer, TWeightContainer > | |
 BasicApplicationViewGUI | |
  otb::BasicApplicationView | |
 otb::Functor::BayesianFunctor< TInputMultiSpectral, TInputMultiSpectralInterp, TInputPanchro, TOutput > | Functor for the bayesian fusion filter. Please refer to BayesianFusionFilter |
 otb::Functor::BayesianFunctor< TInputMultiSpectralImage::PixelType, TInputMultiSpectralInterpImage::PixelType, TInputPanchroImage::PixelType, TOutputImage::PixelType > | |
 binary_function | |
  itk::watershed::SegmentTree< TScalarType >::merge_comp | |
  itk::watershed::SegmentTree< TScalarType >::sort_comp | |
 itk::Function::BinaryAccumulator< TInputPixel, TOutputPixel > | |
 itk::ImageToImageFilterDetail::BinaryBooleanDispatch< B1, B2 > | Templated class to produce a unique type for a pairing of booleans |
 itk::Functor::BinaryElongationLabelObjectAccessor< TLabelObject > | |
 itk::Functor::BinaryFlatnessLabelObjectAccessor< TLabelObject > | |
 itk::ImageToImageFilterDetail::BinaryIntDispatch< D1, D2 > | Templated class to produce a unique type for a pairing of integers |
 itk::Functor::BinaryNot< TPixel > | |
 itk::Functor::BinaryNot< TImage::PixelType > | |
 itk::Functor::BinaryPrincipalAxesLabelObjectAccessor< TLabelObject > | |
 itk::Functor::BinaryPrincipalMomentsLabelObjectAccessor< TLabelObject > | |
 otb::Functor::BinarySpectralAngleFunctor< TInput1, TInput2, TOutputValue > | |
 BinarySpectralAngleFunctor | This functor computes the spectral angle between two pixels |
 otb::Functor::BinarySpectralAngleFunctor< PixelType, PixelType, double > | |
 otb::Functor::BinarySpectralAngleFunctor< PixelType, ReferencePixelType, PrecisionType > | |
 itk::Functor::BinaryThreshold< TInput, TOutput > | |
 itk::Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Function::BinaryThresholdAccumulator< TInputPixel, TOutputPixel > | |
 itk::bioradheader | |
 itk::Function::BlackmanWindowFunction< VRadius, TInput, TOutput > | Window function for sinc interpolation.
|
 otb::Function::BlackmanWindowFunction< TInput, TOutput > | Window function for sinc interpolation.
|
 otb::Function::BlackmanWindowFunction< TInputInterpolator, TOutputInterpolator > | |
 otb::Functor::BlendingFunctor< TInputPixel1, TInputPixel2, TOutputPixel > | Todo |
 otb::Functor::BlendingFunctor< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
 itk::BloxItem | An entry in the BloxPixel linked list |
  itk::BloxBoundaryPointItem< NDimensions > | |
  itk::BloxBoundaryProfileItem< NDimensions > | |
  itk::BloxCoreAtomItem< NDimensions > | |
  itk::BloxBoundaryPointItem< VImageDimension > | A boundary point, stored in a BloxPixel |
  itk::BloxBoundaryProfileItem< TImageDimension > | |
  itk::BloxCoreAtomItem< VImageDimension > | A core atom object, stored in a BloxPixel |
 itk::BluePixelAccessor< T > | Give access to the Blue component of a RGBPixel type |
 otb::ogr::DataSource::boolean | |
 otb::ogr::Layer::boolean | |
 itk::ImageToImageFilterDetail::BooleanDispatch< bool > | Templated class to produce a unique type "true" and "false" |
 otb::SpectralSensitivityReader::BothAre | |
 itk::Mesh< TPixelType, VDimension, TMeshTraits >::BoundaryAssignmentIdentifier | |
 itk::Functor::BoundedReciprocal< TInput, TOutput > | |
 itk::Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Concept::BracketOperator< T1, T2, T3 > | |
 itk::Brains2HeaderFactory | Create instances of Brains2Header objects using an object factory |
 itk::Brains2MaskMappingFunction< TPixel > | |
 itk::BresenhamLine< VDimension > | |
 otb::internal::ReprojectTransformationFunctor::ByCopy | |
 itk::CacheableScalarFunction | Function cache implementation |
  itk::CompositeValleyFunction | Multiple valley shaped curve function |
 itk::NeighborhoodAlgorithm::CalculateOutputWrapOffsetModifiers< TImage > | |
 itk::VTKImageExportBase::CallbackTypeProxy | |
 itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector::Candidate | |
 itk::Statistics::KdTreeBasedKmeansEstimator< TKdTree >::CandidateVector | |
 itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::CannyThreadStruct | |
 itk::Functor::Cast< TInput, TOutput > | |
 itk::Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > | |
 itk::Functor::Cast< TImage::PixelType, TImage::PixelType > | |
 itk::Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > | |
 CastPixelAccessor | |
 otb::Functor::CBAMI< TInput1, TInput2, TOutput > | |
 otb::Functor::CBAMI< itk::ConstNeighborhoodIterator< TInputImage1 >, itk::ConstNeighborhoodIterator< TInputImage2 >, TOutputImage::PixelType > | |
 itk::bio::CellBase | Non-templated Base class from which the templated Cell classes will be derived. Derived classes are instantiated for a specific space dimension |
  itk::bio::Cell< NSpaceDimension > | This class implement the minimal behavior of a biological cell. The basic behavior of a cell is related with the cell cycle. Geometrical concepts like size and shape are also managed by this abstract cell |
 itk::CellInterface< TPixelType, TCellTraits > | |
 itk::CellTraitsInfo< VPointDimension, TCoordRep, TInterpolationWeight, TPointIdentifier, TCellIdentifier, TCellFeatureIdentifier, TPoint, TPointsContainer, TUsingCellsContainer > | A simple utility class to define the cell type inside a mesh type structure definition. This just makes a copy of existing type information that is needed for a cell type template parameter |
 itk::Functor::CenterOfGravityLabelObjectAccessor< TLabelObject > | |
 itk::Functor::CentroidLabelObjectAccessor< TLabelObject > | |
 itk::Functor::ChangeLabel< TInput, TOutput > | |
 itk::Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > | |
 otb::Wrapper::ChoiceParameter::Choice | |
 otb::ClosePathFunctor< TInput, TOutput > | This filter close the input path, making the last point equal to the first one |
 otb::Functor::CloudDetectionFunctor< TInput, TOutputValue > | |
 CloudDetectionFunctor | This functor first uses CloudEstimatorFunctor |
 otb::Functor::CloudEstimatorFunctor< TInput, TOutputValue > | Functor to help with the cloud detection |
 itk::MultivariateLegendrePolynomial::CoefficientVectorSizeMismatch | |
 CoherencyToReciprocalMuellerFunctor | Evaluate the reciprocal Mueller matrix from the reciprocal coherency matrix image |
 otb::Functor::ColorAnaglyphFunctor< TInputPixel1, TInputPixel2, TOutputPixel > | DEPRECATED: This functor implements the pixel-wise color anaglyph composition. The output pixel is a vector pixel of size 3, where the first component contains the value of the first component from the second input pixel, the second component contains the value of the second component from the first input pixel, and the third component contains the value of the third component of the first input pixel |
 otb::Functor::ColorAnaglyphFunctor< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
 itk::Concept::Comparable< T1, T2 > | |
 itk::AttributeKeepNObjectsLabelMapFilter< TImage, TAttributeAccessor >::Comparator | |
 itk::AttributeRelabelLabelMapFilter< TImage, TAttributeAccessor >::Comparator | |
 itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >::ComparePixStruct | |
 itk::Function::ComplexToImaginary< TInput, TOutput > | |
 itk::Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Accessor::ComplexToImaginaryPixelAccessor< TInternalType, TExternalType > | Give access to the Imaginary part of a std::complex<> value |
 itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > | |
 otb::Function::ComplexToIntensity< TInput, TOutput > | |
 otb::Function::ComplexToIntensity< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Function::ComplexToModulus< TInput, TOutput > | |
 itk::Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Accessor::ComplexToModulusPixelAccessor< TInternalType, TExternalType > | Give access to the Modulus of a std::complex<> value |
 itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > | |
 itk::Function::ComplexToPhase< TInput, TOutput > | |
 itk::Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Accessor::ComplexToPhasePixelAccessor< TInternalType, TExternalType > | Give access to the Phase part of a std::complex<> value |
 itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > | |
 itk::Function::ComplexToReal< TInput, TOutput > | |
 itk::Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Accessor::ComplexToRealPixelAccessor< TInternalType, TExternalType > | Give access to the Real part of a std::complex<> value |
 itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > | |
 otb::Functor::ComplexToVector< TInput, TOutput > | |
 otb::Functor::ComplexToVector< itk::VariableLengthVector< TInput >, TOutput > | |
 otb::Functor::ComplexToVector< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Function::Compose2DCovariantVector< TInput > | |
 itk::Function::Compose2DCovariantVector< TInputImage::PixelType > | |
 itk::Function::Compose2DVector< TInput > | |
 itk::Function::Compose2DVector< TInputImage::PixelType > | |
 itk::Function::Compose3DCovariantVector< TInput > | |
 itk::Function::Compose3DCovariantVector< TInputImage::PixelType > | |
 itk::Function::Compose3DVector< TInput > | |
 itk::Function::Compose3DVector< TInputImage::PixelType > | |
 itk::Function::ComposeRGB< TInput > | |
 itk::Function::ComposeRGB< TInputImage::PixelType > | |
 itk::Functor::ComposeRGBA< TInput > | |
 itk::Functor::ComposeRGBA< TInputImage::PixelType > | |
 otb::Functor::ComputeNeighborhoodContributionFunctor< TNeighIter, TOutput > | Unary neighborhood functor to compute the value of a pixel which is a sum of the surrounding pixels value ponderated by a coefficient |
 otb::Functor::ComputeNeighborhoodContributionFunctor< itk::ConstNeighborhoodIterator< TInputImage >, TOutputImage::PixelType > | |
 otb::Functor::ConcatenateScalarValueFunctor< TInput, TOutput > | TODO |
 otb::Functor::ConcatenateScalarValueFunctor< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::ConditionalConstIterator< TImage > | ConditionalConstIterator is a base class for other iterators where membership in the set of output pixels is "conditional" upon some property, calculation, etc. For example, a threshold iterator might walk a region and return only those pixels which meet a minimum intensity condition |
  itk::FloodFilledFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled spatial function |
   itk::FloodFilledImageFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled image function |
    itk::FloodFilledImageFunctionConditionalIterator< TImage, TFunction > | Iterates over a flood-filled image function |
   itk::FloodFilledSpatialFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled spatial function |
    itk::FloodFilledSpatialFunctionConditionalIterator< TImage, TFunction > | Iterates over a flood-filled spatial function |
  itk::ShapedFloodFilledFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled spatial function |
   itk::ShapedFloodFilledImageFunctionConditionalConstIterator< TImage, TFunction > | Iterates over a flood-filled image function |
    itk::ShapedFloodFilledImageFunctionConditionalIterator< TImage, TFunction > | Iterates over a flood-filled image function |
 otb::Functor::ConnectedComponentMuParserFunctor< TInput > | |
 ConnectedComponentMuParserFunctor | This functor use MuParser as criteria for itk connected component module |
 ConnectedComponentMuParserFunctor | Functor used as input to itk connected component segmentation module |
 otb::Functor::ConnectedLabelFunctor< TInput > | |
 otb::watershed::Segmenter< TInputImage >::connectivity_t | |
 itk::watershed::Segmenter< TInputImage >::connectivity_t | |
 itk::ConstShapedNeighborhoodIterator< TImage, TBoundaryCondition >::ConstIterator | |
  itk::ShapedNeighborhoodIterator< TImage, TBoundaryCondition >::Iterator | |
 itk::IndexedContainerInterface< TElementIdentifier, TElement >::ConstIterator | Support const iteration operations through a container. Dereferencing the iterator must provide an object with the following methods: ElementIdentifier Index(void) const; const Element& Value(void) const; |
 itk::MapContainer< TElementIdentifier, TElement >::ConstIterator | The const iterator type for the map |
 itk::VectorContainer< TElementIdentifier, TElement >::ConstIterator | |
 itk::Statistics::Histogram< TMeasurement, VMeasurementVectorSize, TFrequencyContainer >::ConstIterator | |
 itk::Statistics::ImageToListAdaptor< TImage, TMeasurementVector >::ConstIterator | |
 itk::Statistics::ListSample< TMeasurementVector >::ConstIterator | |
 itk::Statistics::MembershipSample< TSample >::ConstIterator | |
 itk::Statistics::PointSetToListAdaptor< TPointSet >::ConstIterator | |
 itk::Statistics::Subsample< TSample >::ConstIterator | |
 itk::Statistics::VariableDimensionHistogram< TMeasurement, TFrequencyContainer >::ConstIterator | |
 otb::ObjectList< TObject >::ConstIterator | ConstIterator of the object list |
 itk::Functor::ConstrainedValueAddition< TInput1, TInput2, TOutput > | |
 itk::Functor::ConstrainedValueAddition< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
 itk::Functor::ConstrainedValueDifference< TInput1, TInput2, TOutput > | |
 itk::Functor::ConstrainedValueDifference< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
 itk::Concept::CopyConstructible< T >::Constraints | |
 itk::Concept::Convertible< T1, T2 >::Constraints | |
 itk::Concept::Assignable< T >::Constraints | |
 itk::Concept::DefaultConstructible< T >::Constraints | |
 itk::Concept::LessThanComparable< T1, T2 >::Constraints | |
 itk::Concept::GreaterThanComparable< T1, T2 >::Constraints | |
 itk::Concept::EqualityComparable< T1, T2 >::Constraints | |
 itk::Concept::Comparable< T1, T2 >::Constraints | |
 itk::Concept::AdditiveOperators< T1, T2, T3 >::Constraints | |
 itk::Concept::MultiplyOperator< T1, T2, T3 >::Constraints | |
 itk::Concept::DivisionOperators< T1, T2, T3 >::Constraints | |
 itk::Concept::LogicalOperators< T1, T2, T3 >::Constraints | |
 itk::Concept::MultiplyAndAssignOperator< T1, T2 >::Constraints | |
 itk::Concept::BracketOperator< T1, T2, T3 >::Constraints | |
 itk::Concept::IncrementDecrementOperators< T >::Constraints | |
 itk::Concept::NotOperator< T >::Constraints | |
 itk::Concept::OStreamWritable< T >::Constraints | |
 itk::Concept::Signed< T >::Constraints | |
 itk::Concept::SameDimension< D1, D2 >::Constraints | |
 itk::Concept::HasNumericTraits< T >::Constraints | |
 itk::Concept::SameType< T1, T2 >::Constraints | |
 itk::Concept::HasPixelTraits< T >::Constraints | |
 itk::Concept::HasValueType< T >::Constraints | |
 itk::Concept::HasZero< T >::Constraints | |
 itk::Concept::HasJoinTraits< T1, T2 >::Constraints | |
 itk::Concept::SameDimensionOrMinusOne< D1, D2 >::Constraints | |
 itk::Concept::IsInteger< T >::Constraints | |
 itk::Concept::IsNonInteger< T >::Constraints | |
 itk::Concept::IsFloatingPoint< T >::Constraints | |
 itk::Concept::IsFixedPoint< T >::Constraints | |
 itk::FixedArray< TValueType, VLength >::ConstReverseIterator | A const reverse iterator through the array |
 itk::ConstSliceIterator< TPixel, TContainer > | A flexible iterator for itk containers(i.e. itk::Neighborhood) that support pixel access through operator[] |
 itk::ConstSparseFieldLayerIterator< TNodeType > | |
  itk::SparseFieldLayerIterator< TNodeType > | |
 itk::ConstSparseFieldLayerIterator< NodeType > | |
 itk::bio::Gene::ControlDomainType | |
 itk::Concept::Convertible< T1, T2 > | |
 itk::ConvertPixelBuffer< InputPixelType, OutputPixelType, OutputConvertTraits > | Class to convert blocks of data from one type to another |
 otb::ConvertPixelBuffer< InputPixelType, OutputPixelType, OutputConvertTraits > | Class to convert blocks of data from one type to another |
 otb::Functor::ConvexOrConcaveDecisionRule< TInput, TOutput > | This functor labels the given pixel between three classes Convex, Concave and Flat |
 otb::Functor::ConvexOrConcaveDecisionRule< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Functor::JoinFunctor< TPixel1, TPixel2 >::CopierDispatchBase | |
  itk::Functor::JoinFunctor< TPixel1, TPixel2 >::CopierDispatch< VDimension > | |
 itk::Concept::CopyConstructible< T > | |
 otb::CorrectPolygonFunctor< TPolygon > | This filter simplify and close the input polygon, making the last point equal to the first one |
 itk::CorrespondenceDataStructureIterator< TStructureType > | An iterator designed to easily traverse an itkCorrespondenceDataStructure |
 itk::CorrespondingMedialNodeClique< VImageDimension, VCliqueSize > | CorrespondingMedialNodeClique is an item stored in CorrespondingNodeList. Specifically it is stored in corresponding node lists and contain pointers to a set of medial nodes (cliques) |
 itk::Functor::Cos< TInput, TOutput > | |
 itk::Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Function::CosineWindowFunction< VRadius, TInput, TOutput > | Window function for sinc interpolation.
|
 otb::Function::CosineWindowFunction< TInput, TOutput > | |
 otb::Function::CosineWindowFunction< TInputInterpolator, TOutputInterpolator > | |
 itk::Accessor::CosPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_cos() function of a value |
 itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > | |
 otb::Count< TPointSet, TRadiusType, TIndexType > | Compute the density of a neighboorhood centerred in a pixel |
 otb::ogr::internal::CppToOGRConverter_trait< T > | Trait class for converting C++ types into OGR field setter compatible types |
 otb::ogr::internal::CppToOGRConverter_trait< std::string > | Specialisation for C++ std::string |
 otb::ogr::internal::CppToOGRConverter_trait< T[N]> | Specialisation for C static arrays |
 Cross | Compute the cross product of two vectors of dimension 3, independently of the type of the values of vector's elements |
 otb::Functor::CrossCorrelation< TInput1, TInput2, TOutput > | Functor to compute the cross correlation |
 otb::Functor::CrossCorrelation< itk::ConstNeighborhoodIterator< TInputImage1 >, itk::ConstNeighborhoodIterator< TInputImage2 >, TOutputImage::PixelType > | |
 itk::CrossHelper< TVector > | |
 otb::CumulantsForEdgeworth< TInput > | Helper class for KullbackLeiblerDistanceImageFilter. Please refer to KullbackLeiblerDistanceImageFilter |
 otb::CumulantsForEdgeworth< itk::ConstNeighborhoodIterator > | |
 otb::CumulantsForEdgeworthProfile< TInput > | Helper class for KullbackLeiblerProfileImageFilter. Please refer to KullbackLeibleProfileImageFilter |
 otb::Functor::CzihoSOMLearningBehaviorFunctor | Beta behavior over SOM training phase |
 otb::Functor::CzihoSOMNeighborhoodBehaviorFunctor | Neighborhood size behavior over SOM training phase |
 otb::DataSpec | This struct contains the specific absorption coefficients of each constituent and the refractive index of leaf materia |
 otb::DataNode< TPrecision, VDimension, TValuePrecision >::DataType | |
 otb::internal::Date | |
 itk::Concept::DefaultConstructible< T > | |
 itk::DefaultConvertPixelTraits< PixelType > | Traits class used to by ConvertPixels to convert blocks of pixels |
 otb::DefaultConvertPixelTraits< PixelType > | Traits class used to by ConvertPixels to convert blocks of pixels |
 otb::DefaultDescriptorsType< TOutputPrecision > | |
 otb::DefaultDescriptorType< TFunctionPrecision > | |
 itk::DefaultDynamicMeshTraits< TPixelType, VPointDimension, VMaxTopologicalDimension, TCoordRep, TInterpolationWeight, TCellPixelType > | |
 itk::DefaultImageTraits< TPixelType, VImageDimension, TPixelContainer > | Default ImageTraits for any PixelType |
 itk::DefaultPixelAccessor< TType > | Give access to partial aspects a type |
 itk::DefaultPixelAccessorFunctor< TImageType > | This class provides a common API for pixel accessors for Image and VectorImage. (between the DefaultVectorPixelAccessor and DefaultPixelAccessor) |
 itk::DefaultStaticMeshTraits< TPixelType, VPointDimension, VMaxTopologicalDimension, TCoordRep, TInterpolationWeight, TCellPixelType > | |
 itk::DefaultVectorPixelAccessor< TType > | Give access to partial aspects of a type |
 itk::DefaultVectorPixelAccessorFunctor< TImageType > | This class provides a common API for pixel accessors for Image and VectorImage. (between the DefaultVectorPixelAccessor and DefaultPixelAccessor) |
 DeformableMesh3D | The DeformableMesh3DFilter is used to deform a mesh (deformable model) under a potential force in 2D or 3D. The potential force is derived from the gradient information in the medical image and it will make the model deform to fit to the boundary features |
 internal::Deleters | |
 itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage >::DenseFDThreadStruct | |
 itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >::DirectionCost | |
 itk::BSplineKernelFunction< VSplineOrder >::DispatchBase | |
  itk::BSplineKernelFunction< VSplineOrder >::Dispatch< int > | |
 itk::ImageToImageFilterDetail::DispatchBase | Base class for a class used to dispatch to dimension specific implementations |
  itk::ImageToImageFilterDetail::BinaryUnsignedIntDispatch< D1, D2 > | Templated class to produce a unique type for a pairing of unsigned integers (usually two dimensions) |
  itk::ImageToImageFilterDetail::IntDispatch< int > | Templated class to produce a unique type for each integer |
  itk::ImageToImageFilterDetail::UnsignedIntDispatch< int > | Templated class to produce a unique type for each unsigned integer (usually a dimension) |
 itk::FlatStructuringElement< VDimension >::DispatchBase | |
  itk::FlatStructuringElement< VDimension >::Dispatch< VDimension2 > | |
 itk::MinMaxCurvatureFlowFunction< TImage >::DispatchBase | |
  itk::MinMaxCurvatureFlowFunction< TImage >::Dispatch< VDimension > | |
 itk::LinearInterpolateImageFunction< TInputImage, TCoordRep >::DispatchBase | |
  itk::LinearInterpolateImageFunction< TInputImage, TCoordRep >::Dispatch< int > | |
 otb::Functor::DistanceComparisonFunctor | This functor is used in nearest neighborhood sorting |
 itk::Function::Div< TInput1, TInput2, TOutput > | |
 itk::Function::Div< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
 itk::Functor::DivideByConstant< TInput, TConstant, TOutput > | |
 itk::Functor::DivideByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > | |
 itk::Concept::DivisionOperators< T1, T2, T3 > | |
 otb::Functor::DotProductFunctor< TInput, TOutput > | Computes the dot product against a specific vector |
 otb::Functor::DotProductFunctor< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::fem::FEMObjectFactory< T >::Dummy | This class is defined in FEMObjectFactory just to get rid of some warnings about destructor being private in gcc |
 itk::watershed::SegmentTable< TScalarType >::edge_pair_t | |
 itk::Functor::EdgePotential< TInput, TOutput > | |
 itk::Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::ElementWrapperInterface< TElement, TElementIdentifier > | |
 itk::ElementWrapperInterface< MinPriorityQueueElementWrapper< TElement, TElementPriority, TElementIdentifier >, TElementIdentifier > | |
  itk::MinPriorityQueueElementWrapper< TElement, TElementPriority, TElementIdentifier > | |
   itk::MaxPriorityQueueElementWrapper< TElement, TElementPriority, TElementIdentifier > | |
 itk::ElementWrapperPointerInterface< TElementWrapperPointer, TElementIdentifier > | |
 otb::Wrapper::ElevationParametersHandler | This class represent a helper class for elevation modes. It add the parameters automatically to the application where it is used, provide method to get the value needed |
 EllipsoidSpatialFunction | Function implementation of an ellipsoid |
 EllipsoidSpatialFunction | Function implementation of an ellipsoid |
 itk::Functor::ElongationLabelObjectAccessor< TLabelObject > | |
 otb::ogr::DataSource::layer_iter< Value >::enabler | |
 otb::ogr::Layer::feature_iter< Value >::enabler | |
 otb::Functor::EnvelopeSavitzkyGolayInterpolationFunctor< Radius, TSeries, TDates, TWeight > | |
 itk::Concept::EqualityComparable< T1, T2 > | |
 itk::Functor::EquivalentEllipsoidSizeLabelObjectAccessor< TLabelObject > | |
 itk::Functor::EquivalentPerimeterLabelObjectAccessor< TLabelObject > | |
 itk::Functor::EquivalentRadiusLabelObjectAccessor< TLabelObject > | |
 ErrorBackPropagationLearningFunctionBase | The ErrorBackPropagationLearningFunctionBase is the base class for all the ErrorBackPropagationLearning strategies. These include error back propagation, bp+momentum, conjugte gradient descent, quick prop. This class specifies how the errors are backpropagated for a layer. They take a LayerBase object as input and compute the input for the layers input weightset |
 ErrorBackPropagationLearningWithMomentum | The ErrorBackPropagationLearningWithMomentum is the base class for all the ErrorBackPropagationLearning strategies. These include error back propagation, bp+momentum, conjugte gradient descent, quick prop. This class specifies how the errors are backpropagated for a layer. They take a LayerBase object as input and compute the input for the layers input weightset |
 EulerOperatorCreateCenterVertexFunction | Create a vertex at the barycenter of the given face |
 EulerOperatorDeleteCenterVertexFunction | Delete the vertex, connected edges and faces and create a new face In place of the previous vertex' one-ring |
 EulerOperatorFlipEdgeFunction | Flip an edge |
 EulerOperatorJoinFacetFunction | Join the two facets which are on both sides of a given internal edge |
 EulerOperatorJoinVertexFunction | Collapse a given edge by joining its dest and its org |
 EulerOperatorSplitEdgeFunction | Given Edge is splitted into two and associated faces see their degree increased by one (a triangle is transformed into a quad for example) |
 EulerOperatorSplitFacetFunction | Given two edges h and g sharing the same Left() face, create a new edge joining h->Destination() to g->Destination(), thus splitting the original Left() |
 EulerOperatorSplitVertexFunction | For two given edges e and f sharing the same dest(), disconnect the two rings, create a new point to be set at f->dest(), and create a new edge between e->Destination() and f->Destination() |
 itk::EventObject | Abstraction of the Events used to communicating among filters and with GUIs |
  itk::AnyEvent | |
   itk::AbortEvent | |
   itk::DeleteEvent | |
   itk::EndEvent | |
   itk::ExitEvent | |
   itk::InitializeEvent | |
   itk::IterationEvent | |
    itk::FunctionAndGradientEvaluationIterationEvent | |
    itk::FunctionEvaluationIterationEvent | |
    itk::GradientEvaluationIterationEvent | |
   itk::ModifiedEvent | |
    itk::TreeChangeEvent< TTreeType > | This class derives from ModifiedEvent and check if the position of a node in the tree has been changed |
     itk::TreeAddEvent< TTreeType > | This class derives from TreeChangeEvent and check if a node has been added to the tree |
     itk::TreeNodeChangeEvent< TTreeType > | |
     itk::TreeRemoveEvent< TTreeType > | This class derives from TreeChangeEvent and check if a node has been removed from the tree |
      itk::TreePruneEvent< TTreeType > | |
   itk::PickEvent | |
    itk::AbortCheckEvent | |
    itk::EndPickEvent | |
    itk::StartPickEvent | |
   itk::ProgressEvent | |
   itk::StartEvent | |
   itk::UserEvent | |
  itk::NoEvent | |
  otb::Wrapper::AddProcessToWatchEvent | This class implements an event storing a pointer to itk::ProcessObject and a string describing the process |
 std::exception | STL class |
  itk::ExceptionObject | Standard exception handling object |
   CommandLineArgumentParserArgumentErrorException | This exception is thrown when the version is displayed |
   CommandLineArgumentParserHelpException | This exception is thrown when the help menu is displayed |
   CommandLineArgumentParserVersionException | This exception is thrown when the version is displayed |
   itk::DataObjectError | Exception object for DataObject exceptions |
    itk::InvalidRequestedRegionError | |
   itk::fem::FEMException | Base class for all exception's that can occur within FEM classes |
    itk::fem::FEMExceptionIO | Base class for all IO exception's that can occur within FEM classe |
    itk::fem::FEMExceptionItpackSolver | Handles errors that occur in itpack solving routines |
    itk::fem::FEMExceptionItpackSparseMatrixSbagn | Handles errors that occur when unfinalizing the matrix |
    itk::fem::FEMExceptionItpackSparseMatrixSbsij | Handles errors that occur when building the matrix |
    itk::fem::FEMExceptionLinearSystem | |
    itk::fem::FEMExceptionLinearSystemBounds | |
    itk::fem::FEMExceptionObjectNotFound | Object not found exception |
    itk::fem::FEMExceptionSolution | Base class for all exceptions that can occur when solving FEM problem |
    itk::fem::FEMExceptionWrongClass | Bad object exception |
   itk::ImageFileReaderException | Base exception class for IO conflicts |
   itk::ImageFileWriterException | Base exception class for IO problems during writing |
   itk::ImageSeriesWriterException | Base exception class for IO problems during writing |
   itk::IncompatibleOperandsError | |
   itk::InvalidActiveShapeModeError | |
   itk::InvalidArgumentError | |
   itk::InvalidImageMomentsError | |
   itk::MemoryAllocationError | |
   itk::ProcessAborted | |
   itk::RangeError | |
   otb::AeronetFileReaderException | Base exception class for Aeronet problems during reading |
   otb::ImageFileReaderException | Base exception class for IO conflicts |
   otb::ImageSeriesFileReaderException | |
   otb::RCC8GraphFileReaderException | Base exception class for IO problems during reading |
   otb::RCC8GraphFileWriterException | Base exception class for IO problems during writing |
   otb::VectorDataFileReaderException | Base exception class for IO conflicts |
   otb::VectorDataFileWriterException | |
 itk::Function::Exp< TInput, TOutput > | |
 itk::Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Function::ExpNegative< TInput, TOutput > | |
 itk::Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Accessor::ExpNegativePixelAccessor< TInternalType, TExternalType > | Give access to the vcl_exp() function of a value |
 itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > | |
 itk::Accessor::ExpPixelAccessor< TInternalType, TExternalType > | Give access to the vcl_exp() function of a value |
 itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > | |
 itk::watershed::Boundary< TScalarType, TDimension >::face_pixel_t | |
 itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >::FDThreadStruct | |
 otb::ogr::Feature | Geometric objet with descriptive fields |
 otb::OGRLayerStreamStitchingFilter< TInputImage >::FeatureStruct | |
 itk::MRCHeaderObject::FeiExtendedHeader | |
 itk::fem::FEMInitialization | FEM Library initialization and housekeeping |
 itk::fem::FEMLightObject | Base class for all classes that define the FEM system |
  itk::fem::Element | Abstract base element class |
   itk::fem::ElementStd< 2, 2 > | |
    itk::fem::Element2DC0LinearLine | 2-noded, linear, C0 continuous line element in 2D space |
     itk::fem::Element1DStress< Element2DC0LinearLine > | |
      itk::fem::Element2DC0LinearLineStress | 2-noded finite element class in 2D space for linear elasticity problem |
    itk::fem::Element2DC1Beam | 1D Beam (spring that also bends) finite element in 2D space |
   itk::fem::ElementStd< 3, 2 > | |
    itk::fem::Element2DC0LinearTriangular | 3-noded, linear, C0 continuous finite element in 2D space |
     itk::fem::Element2DMembrane< Element2DC0LinearTriangular > | |
      itk::fem::Element2DC0LinearTriangularMembrane | 3-noded finite element class in 2D space for linear elasticity problem |
     itk::fem::Element2DStrain< Element2DC0LinearTriangular > | |
      itk::fem::Element2DC0LinearTriangularStrain | 3-noded finite element class in 2D space for linear elasticity problem |
     itk::fem::Element2DStress< Element2DC0LinearTriangular > | |
      itk::fem::Element2DC0LinearTriangularStress | 3-noded finite element class in 2D space for linear elasticity problem |
   itk::fem::ElementStd< 4, 2 > | |
    itk::fem::Element2DC0LinearQuadrilateral | 4-noded, linear, C0 continuous finite element in 2D space |
     itk::fem::Element2DMembrane< Element2DC0LinearQuadrilateral > | |
      itk::fem::Element2DC0LinearQuadrilateralMembrane | 4-noded finite element class in 2D space for linear elasticity problem |
     itk::fem::Element2DStrain< Element2DC0LinearQuadrilateral > | |
      itk::fem::Element2DC0LinearQuadrilateralStrain | 4-noded finite element class in 2D space for linear elasticity problem |
     itk::fem::Element2DStress< Element2DC0LinearQuadrilateral > | |
      itk::fem::Element2DC0LinearQuadrilateralStress | 4-noded finite element class in 2D space for linear elasticity problem |
   itk::fem::ElementStd< 4, 3 > | |
    itk::fem::Element3DC0LinearTetrahedron | 4-noded, linear, C0 continuous finite element in 3D space |
     itk::fem::Element3DMembrane< Element3DC0LinearTetrahedron > | |
      itk::fem::Element3DC0LinearTetrahedronMembrane | 4-noded finite element class in 3D space for linear elasticity problem |
     itk::fem::Element3DStrain< Element3DC0LinearTetrahedron > | |
      itk::fem::Element3DC0LinearTetrahedronStrain | 4-noded finite element class in 3D space for linear elasticity problem |
   itk::fem::ElementStd< 6, 2 > | |
    itk::fem::Element2DC0QuadraticTriangular | 3-noded, quadratic, C0 continuous finite element in 2D space |
     itk::fem::Element2DStrain< Element2DC0QuadraticTriangular > | |
      itk::fem::Element2DC0QuadraticTriangularStrain | 3-noded finite element class in 2D space for linear elasticity problem |
     itk::fem::Element2DStress< Element2DC0QuadraticTriangular > | |
      itk::fem::Element2DC0QuadraticTriangularStress | 3-noded finite element class in 2D space for linear elasticity problem |
   itk::fem::ElementStd< 8, 3 > | |
    itk::fem::Element3DC0LinearHexahedron | 8-noded, linear, C0 continuous finite element in 3D space |
     itk::fem::Element3DMembrane< Element3DC0LinearHexahedron > | |
      itk::fem::Element3DC0LinearHexahedronMembrane | 8-noded finite element class in 3D space for linear elasticity problem |
     itk::fem::Element3DStrain< Element3DC0LinearHexahedron > | |
      itk::fem::Element3DC0LinearHexahedronStrain | 8-noded finite element class in 3D space for linear elasticity problem |
  itk::fem::Element::Node | Class that stores information required to define a node |
  itk::fem::Load | General abstract load base class |
   itk::fem::LoadBC | Generic essential (Dirichlet) boundary conditions |
   itk::fem::LoadBCMFC | Generic linear multi freedom displacement constraint in global coordinate system |
   itk::fem::LoadElement | Virtual element load base class |
    itk::fem::FiniteDifferenceFunctionLoad< TMoving, TFixed > | General image pair load that uses the itkFiniteDifferenceFunctions |
    itk::fem::ImageMetricLoad< TMoving, TFixed > | General image pair load that uses the itkImageToImageMetrics |
    itk::fem::LoadEdge | A generic load that can be applied to an edge of the element |
    itk::fem::LoadGrav | Abstract gravity load class |
     itk::fem::LoadGravConst | Constant gravity load class |
    itk::fem::LoadLandmark | This load is derived from the motion of a specific landmark |
    itk::fem::LoadPoint | This load is applied on a point in an element |
    itk::fem::LoadTest< TClass > | Example to show how to define templated load classes |
   itk::fem::LoadNode | This load is applied on a specific point within the system |
  itk::fem::Material | Base class for storing all the implicit material and other properties required to fully define the element class |
   itk::fem::MaterialLinearElasticity | Linear elasticity material class |
 itk::fem::FEMObjectFactory< T > | Create objects of derived classes by specifying a class ID |
 itk::fem::FEMObjectFactory< FEMLightObject > | |
  itk::fem::FEMRegistrationFilter< TMovingImage, TFixedImage >::FEMOF | |
 itk::fem::FEMP< T > | Pointer used to store polymorphic elements in STL arrays |
 itk::Functor::FeretDiameterLabelObjectAccessor< TLabelObject > | |
 otb::ogr::Field | Encapsulation of OGRField Instances of Field are expected to be built from an existing Feature with which they'll share their owning OGRFeature |
 otb::FieldCopyTransformation | |
 otb::ogr::FieldDefn | Encapsulation of OGRFieldDefn: field definition |
 FieldTransformationPolicy | |
  otb::TransformationFunctorDispatcher< TransformationFunctor, ogr::Layer, FieldTransformationPolicy > | |
  otb::TransformationFunctorDispatcher< TransformationFunctor, OGRGeometry, FieldTransformationPolicy > | |
 itk::ProgressAccumulator::FilterRecord | |
 otb::FilterWatcherBase | This class is an abstract class Provides an interface to progress task mechanic |
  otb::FltkFilterWatcher | This class implements the progress mechanism on pipeline filtering execution |
  otb::StandardFilterWatcher | This class shows the percentage progress execution of the pipeline filtering process |
  otb::StandardOneLineFilterWatcher | This class shows the percentage progress execution of the pipeline filtering process |
 itk::FixedArray< TValueType, VLength > | Simulate a standard C array with copy semnatics |
  itk::CovariantVector< double, 2 > | |
  itk::CovariantVector< double, 3 > | |
  itk::CovariantVector< double, TImageDimension > | |
  itk::CovariantVector< double, TPointDimension > | |
  itk::CovariantVector< double, VDimension > | |
  itk::CovariantVector< double, VImageDimension > | |
  itk::CovariantVector< PrecisionType, PointDimension > | |
  itk::RGBAPixel< float > | |
  itk::RGBAPixel< TComponentType > | |
  itk::RGBPixel< float > | |
  itk::RGBPixel< TPixel > | |
  itk::Vector< CoordRepType, itkGetStaticConstMacro(SpaceDimension)> | |
  itk::Vector< double, 2 > | |
  itk::Vector< double, 3 > | |
  itk::Vector< double, itkGetStaticConstMacro(ImageDimension) > | |
  itk::Vector< double, NSpaceDimension > | |
  itk::Vector< double, TDimension > | |
  itk::Vector< double, TPointDimension > | |
  itk::Vector< double, TSampleDimension > | |
  itk::Vector< double, VDimension > | |
  itk::Vector< double, VImageDimension > | |
  itk::Vector< float, VDimension > | |
  itk::Vector< int, 2 > | |
  itk::Vector< NodeValueType,::itk::GetImageDimension< TImageType >::ImageDimension > | |
  itk::Vector< PrecisionType, 2 > | |
  itk::Vector< PrecisionType, PointDimension > | |
  itk::Vector< ScalarType, itkGetStaticConstMacro(ImageDimension)> | |
  itk::Vector< SpacingValueType, VImageDimension > | |
  itk::Vector< TScalarType, 3 > | |
  itk::Vector< TScalarType, 6 > | |
  itk::Vector< TScalarType, itkGetStaticConstMacro(InputSpaceDimension)> | |
  itk::Vector< TScalarType, itkGetStaticConstMacro(OutputSpaceDimension)> | |
  itk::Vector< TScalarType, itkGetStaticConstMacro(SpaceDimension)> | |
 itk::FixedArray< bool, itkGetStaticConstMacro(ImageDimension)> | |
 itk::FixedArray< CoefficientsPrecisionType, TDegree+1 > | |
 itk::FixedArray< ComplexType, 2 > | |
 itk::FixedArray< CoordRepType, NPointDimension > | |
  itk::Point< CoordRepType, itkGetStaticConstMacro(ImageDimension)> | |
  itk::Point< CoordRepType, VIndexDimension > | |
   itk::ContinuousIndex< CoordRepType, itkGetStaticConstMacro(ImageDimension)> | |
 itk::FixedArray< CoordRepType, NVectorDimension > | |
 itk::FixedArray< CoordRepType, VPointDimension *2 > | |
 itk::FixedArray< double, 3 > | |
 itk::FixedArray< double, 4 > | |
 itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension) > | |
 itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension)> | |
 itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension2)> | |
 itk::FixedArray< double, itkGetStaticConstMacro(NDimensions)> | |
 itk::FixedArray< double, NPointDimension > | |
  itk::Point< double, 2 > | |
  itk::Point< double, 3 > | |
  itk::Point< double, itkGetStaticConstMacro(ImageDimension) > | |
  itk::Point< double, NDimensions > | |
  itk::Point< double, TDimension > | |
  itk::Point< double, TImageDimension > | |
  itk::Point< double, TPointDimension > | |
  itk::Point< double, VDimensions > | |
  itk::Point< double, VImageDimension > | |
  itk::Point< double, VIndexDimension > | |
   itk::ContinuousIndex< double, 2 > | |
 itk::FixedArray< double, NVectorDimension > | |
 itk::FixedArray< double, TDimension > | |
 itk::FixedArray< double, VImageDimension > | |
 itk::FixedArray< float, 3 > | |
 itk::FixedArray< float, 4 > | |
 itk::FixedArray< float, itkGetStaticConstMacro(ImageDimension)> | |
 itk::FixedArray< float, itkGetStaticConstMacro(MeasurementVectorSize) > | |
 itk::FixedArray< float, NPointDimension > | |
  itk::Point< float, VIndexDimension > | |
   itk::ContinuousIndex< float, itkGetStaticConstMacro(ImageDimension)> | |
 itk::FixedArray< float, NVectorDimension > | |
 itk::FixedArray< GaussianDerivativeOperatorType, 2 *itkGetStaticConstMacro(ImageDimension2)> | |
 itk::FixedArray< GaussianDerivativeOperatorType, 3 *itkGetStaticConstMacro(ImageDimension2)> | |
 itk::FixedArray< GaussianDerivativeOperatorType, itkGetStaticConstMacro(ImageDimension2)> | |
 itk::FixedArray< int, itkGetStaticConstMacro(ImageDimension) > | |
 itk::FixedArray< int, NVectorDimension > | |
 itk::FixedArray< KernelType, itkGetStaticConstMacro(ImageDimension2)*(itkGetStaticConstMacro(ImageDimension2)+1)/2 > | |
 itk::FixedArray< KernelType, itkGetStaticConstMacro(ImageDimension2)> | |
 itk::FixedArray< NeighborhoodType, itkGetStaticConstMacro(ImageDimension)> | |
 itk::FixedArray< NodeValueType, NVectorDimension > | |
 itk::FixedArray< OperatorNeighborhoodType, 2 *itkGetStaticConstMacro(ImageDimension2)> | |
 itk::FixedArray< PointType, 3 > | |
 itk::FixedArray< PointValueType, NPointDimension > | |
  itk::Point< PointValueType, VImageDimension > | |
 itk::FixedArray< PrecisionType, NPointDimension > | |
  itk::Point< PrecisionType, 2 > | |
  itk::Point< PrecisionType, VDimension > | |
 itk::FixedArray< PrecisionType, NVectorDimension > | |
 itk::FixedArray< RangeDomainMeasurementType, itkGetStaticConstMacro(RangeDomainDimension) > | |
 itk::FixedArray< RealType, itkGetStaticConstMacro(ImageDimension)> | |
 itk::FixedArray< ScalarRealType, itkGetStaticConstMacro(ImageDimension) > | |
 itk::FixedArray< ScalarType, NVectorDimension > | |
 itk::FixedArray< SpacingValueType, NVectorDimension > | |
 itk::FixedArray< T, NVectorDimension > | |
  itk::CovariantVector< T, NVectorDimension > | A templated class holding a n-Dimensional covariant vector |
  itk::Vector< T, NVectorDimension > | A templated class holding a n-Dimensional vector |
 itk::FixedArray< TComponent, 3 > | |
  itk::RGBPixel< TComponent > | Represent Red, Green and Blue component for color images |
 itk::FixedArray< TComponent, 4 > | |
  itk::RGBAPixel< TComponent > | Represent Red, Green, Blue cand Alpha component for color images |
 itk::FixedArray< TComponent, NDimension *(NDimension+1)/2 > | |
  itk::SymmetricSecondRankTensor< TComponent, NDimension > | Represent a symmetric tensor of second rank |
  itk::SymmetricSecondRankTensor< TComponent, 3 > | |
   itk::DiffusionTensor3D< TComponent > | Represent a diffusion tensor as used in DTI images |
 itk::FixedArray< TComponentType, 4 > | |
 itk::FixedArray< TCoordRep, NPointDimension > | |
  itk::Point< TCoordRep, NPointDimension > | A templated class holding a geometric point in n-Dimensional space |
  itk::Point< TCoordRep, VIndexDimension > | |
   itk::ContinuousIndex< TCoordRep, itkGetStaticConstMacro(ImageDimension)> | |
   itk::ContinuousIndex< TCoordRep, VIndexDimension > | A templated class holding a point in n-Dimensional image space |
  itk::Point< TCoordRep, VPointDimension > | |
   itk::QuadEdgeMeshPoint< TCoordRep, VPointDimension, TQuadEdge > | Wrapper around a itk::Point in order to add a reference to an entry in the edge ring |
 itk::FixedArray< TInternalImageFunctionType::CoordRepType, NPointDimension > | |
  itk::Point< TInternalImageFunctionType::CoordRepType, VIndexDimension > | |
   itk::ContinuousIndex< TInternalImageFunctionType::CoordRepType, itkGetStaticConstMacro(ImageDimension)> | |
 itk::FixedArray< TOutput, NPointDimension > | |
  itk::Point< TOutput, VIndexDimension > | |
   itk::ContinuousIndex< TOutput, itkGetStaticConstMacro(ImageDimension)> | |
 itk::FixedArray< TPixel, 3 > | |
 itk::FixedArray< TScalarType, 2 > | |
 itk::FixedArray< TScalarType, itkGetStaticConstMacro(SpaceDimension)> | |
 itk::FixedArray< TScalarType, NPointDimension > | |
  itk::Point< TScalarType, itkGetStaticConstMacro(InputSpaceDimension)> | |
  itk::Point< TScalarType, itkGetStaticConstMacro(SpaceDimension)> | |
 itk::FixedArray< TScalarType, NVectorDimension > | |
 itk::FixedArray< Type, NPointDimension > | |
  itk::Point< Type, 2 > | |
   itk::ContinuousIndex< Type > | |
 itk::FixedArray< typename LabelIndexType::IndexValueType, itkGetStaticConstMacro(ImageDimension) > | |
 itk::FixedArray< typename LabelIndexType::IndexValueType, itkGetStaticConstMacro(ImageDimension)*2 > | |
 itk::FixedArray< typename TImage::PixelType, 1 > | |
 itk::FixedArray< unsigned int, ImageDimension > | |
 itk::FixedArray< unsigned int, itkGetStaticConstMacro(ImageDimension)> | |
 itk::FixedArray< unsigned int, itkGetStaticConstMacro(ImageDimension2)> | |
 itk::FixedArray< unsigned int, itkGetStaticConstMacro(OutputImageDimension)> | |
 itk::FixedArray< unsigned int, VImageDimension > | |
 itk::FixedArray< unsigned int,::itk::GetImageDimension< TImage >::ImageDimension > | |
 itk::FixedArray< unsigned long, 3 > | |
 itk::FixedArray< unsigned long,::itk::GetImageDimension< FixedImageType >::ImageDimension > | |
 itk::FixedArray< unsigned, itkGetStaticConstMacro(ImageDimension)> | |
 itk::FixedArray< VectorType, TPointDimension-1 > | |
 FixedImageSamplePoint | |
 FixedImageSpatialSample | |
 Fl_Gl_Window | |
  otb::GlWidget | Base class for widgets using OpenGl |
   otb::Curves2DWidget | This widget renders a set of curves to the screen |
   otb::ImageWidget< TInputImage > | This class renders an RGB bytes image buffer to the screen. Rendered data can be loaded using the ReadBuffer() method. The SetIsotropicZoom() method allows to tune the zooming (zooming is centered) |
  otb::HistogramAndTransferFunctionWidget< THistogram, TPixel > | DEPRECATED |
   otb::ImageViewerHistogramAndTransferFunctionWidget< THistogram, TPixel, TLabel > | DEPRECATED: Custom histogram widget for the image viewer |
  otb::ImageAlternateViewer< TPixel > | DEPRECATED |
  otb::ImageWidgetBase< TPixel > | DEPRECATED: Base class for ImageWidget |
   otb::FixedSizeFullImageWidget< TPixel > | DEPRECATED: FixedSizeFullImageWidget |
    otb::ImageViewerScrollWidget< TPixel, TLabel > | DEPRECATED: Custom scroll image widget |
   otb::FullResolutionImageWidget< TPixel > | DEPRECATED: Widget for the full resolution window in viewer |
    otb::ImageViewerFullWidget< TPixel, TLabel > | DEPRECATED: Custom full image widget |
   otb::ZoomableImageWidget< TPixel > | DEPRECATED: Widget for the zoom window in viewer |
    otb::ImageViewerZoomWidget< TPixel, TLabel > | DEPRECATED: Custom scroll image widget |
 otb::watershed::Segmenter< TInputImage >::flat_region_t | |
 itk::watershed::Boundary< TScalarType, TDimension >::flat_region_t | |
 itk::watershed::Segmenter< TInputImage >::flat_region_t | |
 itk::Functor::FlatnessLabelObjectAccessor< TLabelObject > | |
 FlusserMomentsFFactory | Add a FlusserMoments image function to a MetaImageFunction |
 itk::VoronoiDiagram2DGenerator< TCoordType >::FortuneEdge | |
 itk::VoronoiDiagram2DGenerator< TCoordType >::FortuneHalfEdge | |
 itk::VoronoiDiagram2DGenerator< TCoordType >::FortuneSite | |
 FourierMellinDescriptorsFFactory | Add a FourierMellinDescriptors image function to a MetaImageFunction |
 itk::QuadEdgeMeshFrontBaseIterator< TMesh, TQE >::FrontAtom | Atomic information associated to each edge of the front |
 FunctionBase | |
  otb::GISTableFunction< TInputTable, TOutput > | Evaluates a const transaction on a GISTable |
   otb::TransactorGISTableFunction< TInputTable, TOutput, TTransactor > | Evaluates a const transaction on a GISTable using a transactor |
 otb::SimpleRcsPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::FusionFunctor | |
 FusionFunctor | |
 otb::LmvmPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::FusionFunctor1 | |
 otb::LmvmPanSharpeningFusionImageFilter< TPanImageType, TXsImageType, TOutputImageType, TInternalPrecision >::FusionFunctor2 | |
 otb::OGRLayerStreamStitchingFilter< TInputImage >::FusionStruct | |
 otb::FuzzyDescriptorsModelManager | Read a xml file where are stored several statistics |
 otb::Functor::GAndRAndNirIndexBase< TInput1, TInput2, TInput3, TOutput > | Base class for Green And Red And NIR channels of Spot Images |
  otb::Functor::IB2< TInput1, TInput2, TInput3, TOutput > | This functor computes the Brilliance Index (IB2) |
 otb::Functor::GAndRIndexBase< TInput1, TInput2, TOutput > | Base class for Green And Red channels of Spot Images XS1 corresponds to the green channel XS2 corresponds to the red channel XS3 corresponds to the Nir channel XS4 corresponds to the Mir channel (for Spot 4 & 5) Implement operators for UnaryFunctorImageFilter templated with a VectorImage and BinaryFunctorImageFilter templated with single images. Subclasses should NOT overload operators, they must re-implement the Evaluate() method |
  otb::Functor::IB< TInput1, TInput2, TOutput > | This functor computes the Brilliance Index (IB) |
  otb::Functor::IC< TInput1, TInput2, TOutput > | This functor computes the Color Index (IC) |
  otb::Functor::IR< TInput1, TInput2, TOutput > | This functor computes the Redness Index (IR) |
 otb::Function::GaussianWindowFunction< TInput, TOutput > | Gaussian interpolation windowing function.
|
 otb::Function::GaussianWindowFunction< TInputInterpolator, TOutputInterpolator > | |
 itk::fem::GaussIntegrate | Use the Gauss-Legendre formula to perform integration |
 otb::GDALDataTypeWrapper | |
 otb::GDALDriverManagerWrapper | Provide an unique instance of a GDALDataSet |
 GEImageHeader | |
 itk::bio::Gene | This class implement the abstraction of a biological gene |
 itk::bio::GeneNetwork | This class implement the abstraction of a biological gene network |
 itk::GenericCUBFileAdaptor | Reader and Writer for the VoxBo file format |
  itk::CompressedCUBFileAdaptor | |
  itk::DirectCUBFileAdaptor | |
 GenericKernelFunctorBase | Undocumented |
  ComposedKernelFunctor | Undocumented |
  otb::ChangeProfileKernelFunctor | Change Profile Kernel |
  otb::CustomKernelFunctor | Undocumented |
  otb::CustomKernelFunctor | Undocumented |
  otb::CustomLinearKernelFunctor | Undocumented |
  otb::CustomLinearKernelFunctor | Undocumented |
  otb::GroupedRBFKernelFunctor | Undocumented |
  otb::GroupedRBFKernelFunctor | Undocumented |
  otb::GroupingAdaptiveKernelFunctor | Undocumented |
  otb::GroupingAdaptiveKernelFunctor | Undocumented |
  otb::InverseCosSAMKernelFunctor | Undocumented |
  otb::InverseCosSAMKernelFunctor | Undocumented |
  otb::InvMultiQuadraticSAMKernelFunctor | Undocumented |
  otb::InvMultiQuadraticSAMKernelFunctor | Undocumented |
  otb::InvMultiQuadricKernelFunctor | Undocumented |
  otb::InvMultiQuadricKernelFunctor | Undocumented |
  otb::KModKernelFunctor | Undocumented |
  otb::KModKernelFunctor | Undocumented |
  otb::KModSAMKernelFunctor | Undocumented |
  otb::KModSAMKernelFunctor | Undocumented |
  otb::PolyRBFSAMKernelFunctor | Undocumented |
  otb::PolyRBFSAMKernelFunctor | Undocumented |
  otb::RadialSAMKernelFunctor | Undocumented |
  otb::RadialSAMKernelFunctor | Undocumented |
  otb::RBFDiffKernelFunctor | Undocumented |
  otb::RBFDiffKernelFunctor | Undocumented |
  otb::RBFKernelFunctor | Undocumented |
  otb::RBFKernelFunctor | Undocumented |
  otb::RBFRBFSAMKernelFunctor | Undocumented |
  otb::RBFRBFSAMKernelFunctor | Undocumented |
  otb::SAMKernelFunctor | Undocumented |
  otb::SAMKernelFunctor | Undocumented |
  otb::SpectralAngleKernelFunctor | Spectral Angle Kernel |
 itk::bio::Genome | This class implement the abstraction of a biological genome |
 otb::ogr::internal::GeometryDeleter | |
 itk::Statistics::GetAdaptorMeasurementVectorLength< TAdaptor > | |
 itk::GetDimension< T > | |
 itk::Statistics::GetHistogramDimension< THistogram > | |
 itk::GetImageDimension< TImage > | |
 itk::GetMeshDimension< TMesh > | |
 itk::GetPointSetDimension< TPointSet > | |
 itk::GetVectorDimension< TVector > | |
 itk::GiplImageIOInternals | |
 otb::NCCRegistrationFunction< TFixedImage, TMovingImage, TDeformationField >::GlobalDataStruct | |
 itk::LevelSetFunction< TImageType >::GlobalDataStruct | |
  itk::ShapePriorSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ShapePriorGlobalDataStruct | |
 itk::DemonsRegistrationFunction< TFixedImage, TMovingImage, TDeformationField >::GlobalDataStruct | |
 itk::FastSymmetricForcesDemonsRegistrationFunction< TFixedImage, TMovingImage, TDeformationField >::GlobalDataStruct | |
 itk::LevelSetMotionRegistrationFunction< TFixedImage, TMovingImage, TDeformationField >::GlobalDataStruct | |
 itk::ESMDemonsRegistrationFunction< TFixedImage, TMovingImage, TDeformationField >::GlobalDataStruct | |
 itk::MeanSquareRegistrationFunction< TFixedImage, TMovingImage, TDeformationField >::GlobalDataStruct | |
 itk::MIRegistrationFunction< TFixedImage, TMovingImage, TDeformationField >::GlobalDataStruct | |
 itk::NCCRegistrationFunction< TFixedImage, TMovingImage, TDeformationField >::GlobalDataStruct | |
 itk::SymmetricForcesDemonsRegistrationFunction< TFixedImage, TMovingImage, TDeformationField >::GlobalDataStruct | |
 itk::RegionBasedLevelSetFunction< TInput, TFeature, TSharedData >::GlobalDataStruct | |
 itk::Functor::GradientMagnitude< TInput, TOutput > | |
 itk::Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > | |
 otb::Functor::GrayscaleAnaglyphFunctor< TInputPixel1, TInputPixel2, TOutputPixel > | DEPRECATED: This functor implements the pixel-wise grayscale anaglyph composition. The output pixel is a vector pixel of size 3, where the first component contains the value of the first input pixel, and the two last components contain the value of the second input pixel |
 otb::Functor::GrayscaleAnaglyphFunctor< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > | |
 greater | |
  itk::IPLFileSortInfo_ascend_compare | |
  itk::IPLFileSortInfo_ascendbyname_compare | |
  itk::IPLFileSortInfo_descend_compare | |
  itk::IPLFileSortInfo_descendbyname_compare | |
 itk::Concept::GreaterThanComparable< T1, T2 > | |
 itk::GreenPixelAccessor< T > | Give access to the Green component of a RGBPixel type |
 itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >::GreyAndPos | |
 Group | |
 itk::Function::HammingWindowFunction< VRadius, TInput, TOutput > | Window function for sinc interpolation.
|
 otb::Function::HammingWindowFunction< TInput, TOutput > | Window function for sinc interpolation.
|
 otb::Function::HammingWindowFunction< TInputInterpolator, TOutputInterpolator > | |
 HaralickTexturesFFactory | Add a HaralickTextures image function to a MetaImageFunction |
 itk::hash< Key > | |
 itk::hash< char * > | |
 itk::hash< char > | |
 itk::hash< const char * > | |
 itk::hash< int > | |
 itk::hash< long > | |
 itk::hash< short > | |
 itk::hash< signed char > | |
 itk::hash< unsigned char > | |
 itk::hash< unsigned int > | |
 itk::hash< unsigned long > | |
 itk::hash< unsigned short > | |
 itk::hash_map< Key, T, HashFcn, EqualKey, Alloc > | Replacement for STL hash map because some systems do not support it, or support it incorrectly |
 itk::hash_map< Array< IdentifierType >, IdentifierType, IdentifierArrayHashFunction, IdentifierArrayEqualsFunction > | |
 itk::hash_map< InstanceIdentifier, unsigned int > | |
 itk::hash_map< LabelPixelType, LabelGeometry > | |
 itk::hash_map< LabelPixelType, LabelStatistics > | |
 itk::hash_map< PointType, IdentifierType, StructHashFunction< PointHashType > > | |
 itk::hash_map< unsigned long, segment_t, itk::hash< unsigned long > > | |
 itk::hash_map< unsigned long, unsigned long, itk::hash< unsigned long > > | |
 itk::hash_map< VertexType, ContourRef, VertexHash > | |
 itk::hash_multimap< Key, T, HashFcn, EqualKey, Alloc > | |
 itk::hash_multiset< Value,,, > | |
 itk::hash_set< Value,,, > | Replacement for STL hash set because some systems do not support it, or support it incorrectly |
 itk::hashtable_base< Value, Alloc > | |
  itk::hashtable< Value, Value, HashFcn, std::identity< Value >, EqualKey, Alloc > | |
  itk::hashtable< Value, Key, HashFcn, ExtractKey, EqualKey, > | |
 itk::hashtable_base< std::pair< const Array< IdentifierType >, IdentifierType >, Alloc > | |
  itk::hashtable< std::pair< const Array< IdentifierType >, IdentifierType >, Array< IdentifierType >, IdentifierArrayHashFunction, sel1st, IdentifierArrayEqualsFunction, Alloc > | |
 itk::hashtable_base< std::pair< const InstanceIdentifier, unsigned int >, Alloc > | |
  itk::hashtable< std::pair< const InstanceIdentifier, unsigned int >, InstanceIdentifier, HashFcn, sel1st, EqualKey, Alloc > | |
 itk::hashtable_base< std::pair< const Key, T >, Alloc > | |
  itk::hashtable< std::pair< const Key, T >, Key, HashFcn, sel1st, EqualKey, Alloc > | |
  itk::hashtable< std::pair< const Key, T >, Key, HashFcn, std::select1st< std::pair< const Key, T > >, EqualKey, Alloc > | |
 itk::hashtable_base< std::pair< const LabelPixelType, LabelGeometry >, Alloc > | |
  itk::hashtable< std::pair< const LabelPixelType, LabelGeometry >, LabelPixelType, HashFcn, sel1st, EqualKey, Alloc > | |
 itk::hashtable_base< std::pair< const LabelPixelType, LabelStatistics >, Alloc > | |
  itk::hashtable< std::pair< const LabelPixelType, LabelStatistics >, LabelPixelType, HashFcn, sel1st, EqualKey, Alloc > | |
 itk::hashtable_base< std::pair< const PointType, IdentifierType >, Alloc > | |
  itk::hashtable< std::pair< const PointType, IdentifierType >, PointType, StructHashFunction< PointHashType >, sel1st, EqualKey, Alloc > | |
 itk::hashtable_base< std::pair< const unsigned long, segment_t >, Alloc > | |
  itk::hashtable< std::pair< const unsigned long, segment_t >, unsigned long, itk::hash< unsigned long >, sel1st, EqualKey, Alloc > | |
 itk::hashtable_base< std::pair< const unsigned long, unsigned long >, Alloc > | |
  itk::hashtable< std::pair< const unsigned long, unsigned long >, unsigned long, itk::hash< unsigned long >, sel1st, EqualKey, Alloc > | |
 itk::hashtable_base< std::pair< const VertexType, ContourRef >, Alloc > | |
  itk::hashtable< std::pair< const VertexType, ContourRef >, VertexType, VertexHash, sel1st, EqualKey, Alloc > | |
 itk::hashtable_const_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > | |
 itk::hashtable_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > | |
 itk::hashtable_node< Value > | |
 itk::Concept::HasJoinTraits< T1, T2 > | |
 itk::Concept::HasNumericTraits< T > | |
 itk::Concept::HasPixelTraits< T > | |
 itk::Concept::HasValueType< T > | |
 itk::Concept::HasZero< T > | |
 itk::MRCHeaderObject::Header | |
 Helper | |
 otb::Functor::HessianDeterminant< TInput, TOutput > | This functor computes the determinant of symmetric 2*2 matrix |
 otb::Functor::HessianToScalar< TInput, TOutput > | |
 otb::Functor::HessianToScalar< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::HexahedronCellTopology | |
  itk::HexahedronCell< TCellInterface > | |
 otb::Functor::HillShadeModulationFunctor< TInput1, TInput2, TOutput > | Modulate an image with hill shading |
 otb::Functor::HillShadingFunctor< TNeighIter, TInputImage, TOutput > | Unary neighborhood functor to compute the lambertian of a surface |
 otb::Functor::HillShadingFunctor< itk::ConstNeighborhoodIterator< TInputImage >, TInputImage, TOutputImage::PixelType > | |
 itk::Function::HistogramEntropyFunction< TInput, TOutput > | |
 itk::Function::HistogramEntropyFunction< unsigned long, TOutputPixel > | |
 itk::Function::HistogramIntensityFunction< TInput, TOutput > | |
 itk::Function::HistogramIntensityFunction< unsigned long, TOutputPixel > | |
 itk::Functor::HistogramLabelObjectAccessor< TLabelObject > | |
 itk::Function::HistogramLogProbabilityFunction< TInput, TOutput > | |
 itk::Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > | |
 itk::Function::HistogramProbabilityFunction< TInput, TOutput > | |
 itk::Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > | |
 otb::Functor::HorizontalSobelOperator< TInput, TOutput > | Performs the calculation of horizontal Sobel derivation |
 otb::Functor::HorizontalSobelOperator< itk::ConstNeighborhoodIterator< TInputImage >, TOutputImage::PixelType > | |
 otb::Functor::HSVToRGBFunctor< TRGBPixel > | Function object to convert HSV value to RGB |
 otb::Functor::HSVToRGBFunctor< RGBPixelType > | |
 itk::ICDirect | |
 itk::ICInverse | |
 itk::AutomaticTopologyMeshSource< TOutputMesh >::IdentifierArrayEqualsFunction | |
 itk::AutomaticTopologyMeshSource< TOutputMesh >::IdentifierArrayHashFunction | |
 otb::Function::Identity< TInputPixel, TOutputPixel > | Default math functor parameter for rendering function |
 itk::image_info_defV3 | |
 itk::image_info_defV4 | |
 otb::Functor::ImageAndVectorImageOperationFunctor< TInput, TVectorInput, TOutput > | |
 otb::Functor::ImageAndVectorImageOperationFunctor< TInputImage::PixelType, TVectorInputImage::PixelType, TOutputImage::PixelType > | |
 itk::ImageBoundaryCondition< TImageType > | A virtual base object that defines an interface to a class of boundary condition objects for use by neighborhood iterators |
  itk::ZeroFluxNeumannBoundaryCondition< TImageType > | |
 itk::ImageBoundaryCondition< FixedImageType > | |
  itk::ZeroFluxNeumannBoundaryCondition< FixedImageType > | |
 itk::ImageBoundaryCondition< ImageType > | |
  itk::ZeroFluxNeumannBoundaryCondition< ImageType > | |
 itk::ImageBoundaryCondition< InputImageType > | |
  itk::ConstantBoundaryCondition< InputImageType > | |
  itk::ZeroFluxNeumannBoundaryCondition< InputImageType > | |
 itk::ImageBoundaryCondition< itk::Image > | |
  itk::ZeroFluxNeumannBoundaryCondition< itk::Image > | |
 itk::ImageBoundaryCondition< OutputImageType > | |
 itk::ImageBoundaryCondition< TDeformationField > | |
  itk::ZeroFluxNeumannBoundaryCondition< TDeformationField > | |
 itk::ImageBoundaryCondition< TImage > | |
  itk::ConstantBoundaryCondition< TImage > | This boundary condition returns a constant value for out-of-bounds image pixels |
  itk::PeriodicBoundaryCondition< TImage > | A function object that determines values outside of image boundaries according to periodic (wrap-around) conditions |
  itk::ZeroFluxNeumannBoundaryCondition< TImage > | A function object that determines a neighborhood of values at an image boundary according to a Neumann boundary condition where first, upwind derivatives on the boundary are zero. This is a useful condition in solving some classes of differential equations |
 itk::ImageBoundaryCondition< TInput > | |
  itk::ZeroFluxNeumannBoundaryCondition< TInput > | |
 itk::ImageBoundaryCondition< TInputImage > | |
  itk::ZeroFluxNeumannBoundaryCondition< TInputImage > | |
 itk::ImageBoundaryCondition< TSparseImageType > | |
  itk::ZeroFluxNeumannBoundaryCondition< TSparseImageType > | |
 itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TImage > | |
 itk::ImageConstIterator< TImage > | A multi-dimensional image iterator templated over image type |
  itk::ImageIterator< TImage > | A multi-dimensional iterator templated over image type |
  itk::ImageRegionConstIterator< TImage > | A multi-dimensional iterator templated over image type that walks a region of pixels |
   itk::ImageRegionIterator< TImage > | A multi-dimensional iterator templated over image type that walks a region of pixels |
   otb::Meanshift::FastImageRegionConstIterator< TImage > | |
   otb::SubsampledImageRegionConstIterator< TImage > | Regular subsample iterator over an image |
    otb::SubsampledImageRegionIterator< TImage > | Regular subsample iterator over an image |
 itk::ImageConstIteratorWithIndex< TImage > | A base class for multi-dimensional iterators templated over image type that are designed to efficiently keep track of the iterator position |
  itk::ImageIteratorWithIndex< TImage > | A base class for multi-dimensional iterators templated over image type that are designed to efficiently keep track of the iterator position |
  itk::ImageLinearConstIteratorWithIndex< TImage > | A multi-dimensional image iterator that visits image pixels within a region in a "scan-line" order |
   itk::ImageLinearIteratorWithIndex< TImage > | A multi-dimensional image iterator that visits image pixels within a region in a "scan-line" order |
  itk::ImageRandomConstIteratorWithIndex< TImage > | A multi-dimensional image iterator that visits a random set of pixels within an image region |
   itk::ImageRandomIteratorWithIndex< TImage > | A multi-dimensional image iterator that visits a random set of pixels within an image region |
  itk::ImageRandomNonRepeatingConstIteratorWithIndex< TImage > | A multi-dimensional image iterator that visits a random set of pixels within an image region. All pixels in the image will be visited before any are repeated. A priority image may be passed to the interator which will cause it to select certain sets of pixels (those with lower priority values) before others |
   itk::ImageRandomNonRepeatingIteratorWithIndex< TImage > | A multi-dimensional image iterator that visits image pixels within a region in a random order, without repeating |
  itk::ImageRegionConstIteratorWithIndex< TImage > | A multi-dimensional iterator templated over image type that walks an image region and is specialized to keep track of its index location |
   itk::ImageRegionIteratorWithIndex< TImage > | A multi-dimensional iterator templated over image type that walks pixels within a region and is specialized to keep track of its image index location |
  itk::ImageRegionExclusionConstIteratorWithIndex< TImage > | Multi-dimensional image iterator that walks an image region, excluding a second region contained within the first |
   itk::ImageRegionExclusionIteratorWithIndex< TImage > | Multi-dimensional image iterator that walks an image region, excluding a second region contained within the first |
  itk::ImageSliceConstIteratorWithIndex< TImage > | Multi-dimensional image iterator which only walks a region |
   itk::ImageSliceIteratorWithIndex< TImage > | A multi-dimensional image iterator that extends the ImageLinearIteratorWithIndex from iteration along lines in an image to iteration along both lines and planes (slices) within an image. A slice is defined as a 2D plane spanned by two vectors pointing along orthogonal coordinate axes |
  itk::ReflectiveImageRegionConstIterator< TImage > | Multi-dimensional image iterator which only walks a region |
   itk::ReflectiveImageRegionIterator< TImage > | Multi-dimensional image iterator which only walks a region |
 itk::ImageConstIteratorWithIndex< InputImageType > | |
  itk::ImageRegionConstIteratorWithIndex< InputImageType > | |
   itk::ImageRegionIteratorWithIndex< InputImageType > | |
 itk::ImageConstIteratorWithIndex< TImageType > | |
  itk::ImageLinearConstIteratorWithIndex< TImageType > | |
   itk::ImageLinearIteratorWithIndex< TImageType > | |
 otb::ImageToOSMVectorDataGenerator< TImage >::ImageExtentType | |
 ImageFileWriterException | Base exception class for IO problems during writing |
 itk::ImageHelper< NImageDimension, NLoop > | Fast Index/Offset computation |
 ImageIOFactory | Create instances of ImageIO objects using an object factory |
 itk::ImageIORegionAdaptor< VDimension > | Helper class for converting ImageRegions into ImageIORegions and back |
 itk::Statistics::ImageJointDomainTraits< TImage > | This class provides the type defintion for the measurement vector in the joint domain (range domain – pixel values + spatial domain – pixel's physical coordinates) |
 otb::ImageKeywordlist | Storage and conversion for OSSIM metadata |
 otb::ImageLayerRenderingModelListener | |
 itk::fem::ImageMetricLoadImplementation< TLoadClass > | |
 otb::ogr::ImageReference< TPrecision > | |
 otb::ogr::ImageReference< double > | |
 itk::ImageToImageFilterDetail::ImageRegionCopier< D1, D2 > | Function object used to dispatching to a routine to copy a region (start index and size) |
 itk::ImageToImageFilterDetail::ImageRegionCopier< T1, T2 > | |
  itk::ImageToImageFilterDetail::ExtractImageFilterRegionCopier< T1, T2 > | |
 itk::ImageReverseConstIterator< TImage > | Multi-dimensional image iterator |
  itk::ImageRegionReverseConstIterator< TImage > | A multi-dimensional image iterator designed to walk a specified image region in reverse |
   itk::ImageRegionReverseIterator< TImage > | Multi-dimensional image iterator which only walks a region |
   itk::ImageReverseIterator< TImage > | A multi-dimensional image iterator designed to walk a specified region in reverse |
 otb::Functor::ImageToLuminanceImageFunctor< TInput, TOutput > | Add beta to the quotient Input over alpha |
 otb::Functor::ImageToReflectanceImageFunctor< TInput, TOutput > | Call the ImageToLuminanceFunctor over the input and the LuminanceToReflectanceFunctor to this result |
 itk::ImageTransformHelper< NImageDimension, R, C > | Fast index/physical index computation |
 itk::ImageVoxel | |
 otb::Function::ImaginaryToComplex< TInputImageImaginaryPart, TOutput > | |
 otb::Function::ImaginaryToComplex< TInputImageImaginaryPart::PixelType, TOutputImage::PixelType > | |
 itk::Concept::IncrementDecrementOperators< T > | |
 itk::Indent | Control indentation during Print() invocation |
 itk::Index< VIndexDimension > | Represent a n-dimensional index in a n-dimensional image |
 itk::Index< 2 > | |
 itk::Index< itkGetStaticConstMacro(Dimension)> | |
 itk::Index< itkGetStaticConstMacro(ImageDimension) > | |
 itk::Index< VDimension > | |
 itk::Index< VImageDimension > | |
 itk::Index< VMeasurementVectorSize > | |
 itk::Index< VSetDimension > | |
 itk::Functor::IndexLexicographicCompare< VIndexDimension > | Order Index instances lexicographically |
 itk::fem::INITClass | Class that is used in FEM_CLASS_INIT macro |
 otb::internal::ReprojectTransformationFunctor::InPlace | |
 itk::Functor::IntensityLinearTransform< TInput, TOutput > | |
 itk::Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::Functor::IntensityWindowingTransform< TInput, TOutput > | |
 itk::Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > | |
 Interface | Wrapper for FFTW API |
 itk::InternalHeader | |
 itk::IntervalCalculator< PixelType, TOperation > | |
 InvalidRequestRegionError | |
 itk::Functor::InvertBinaryIntensityFunctor< InputPixelType > | |
 itk::Functor::InvertIntensityFunctor< InputPixelType > | |
 itk::Functor::InvertIntensityTransform< TInput, TOutput > | |
 itk::Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > | |
 itk::IOCommon | Centralized funtionality for IO classes |
 itk::IPLFileNameList | – stores filename+info to be enumerated for IPLCommonImageIO |
 itk::IPLFileSortInfo | |
 IPLSortInfo | – holds info on one file for IPLCommonImageIO |
 boost::is_contiguous< Range > | Type-traits: are the elements contiguous in the range |
 boost::is_contiguous< boost::array< T, N > > | |
 boost::is_contiguous< boost::ptr_array< T, N, TCA > > | |
 boost::is_contiguous< boost::ptr_vector< T, TCA, TA > > | |
 boost::is_contiguous< std::vector< T, TAllocator > > | |
 itk::Concept::IsFixedPoint< T > | |
 itk::Concept::IsFloatingPoint< T > | |
 itk::Concept::IsInteger< T > | |
 itk::Concept::IsNonInteger< T > | |
 otb::Functor::ISRAUnmixingFunctor< TInput, TOutput, TPrecision > | TODO |
 otb::Functor::ISRAUnmixingFunctor< TInputImage::PixelType, TOutputImage::PixelType, TPrecision > | |
 itk::IterationReporter | Implements iterations tracking for a filter |
 itk::IndexedContainerInterface< TElementIdentifier, TElement >::Iterator | Support iteration operations through a container. Dereferencing the iterator must provide an object with the following methods: ElementIdentifier Index(void) const; Element& Value(void); |
 itk::MapContainer< TElementIdentifier, TElement >::Iterator | The non-const iterator type for the map |
 itk::VectorContainer< TElementIdentifier, TElement >::Iterator | |
 itk::Statistics::Histogram< TMeasurement, VMeasurementVectorSize, TFrequencyContainer >::Iterator | |
 itk::Statistics::ImageToListAdaptor< TImage, TMeasurementVector >::Iterator | |
 itk::Statistics::ListSample< TMeasurementVector >::Iterator | |
 itk::Statistics::PointSetToListAdaptor< TPointSet >::Iterator | |
 itk::Statistics::Subsample< TSample >::Iterator | |
 itk::Statistics::VariableDimensionHistogram< TMeasurement, TFrequencyContainer >::Iterator | |
 otb::ObjectList< TObject >::Iterator | Iterator of the object list |
 iterator_facade | |
  otb::ogr::DataSource::layer_iter< Value > | Implementation class for Layer iterator |
  otb::ogr::Layer::feature_iter< Value > | Implementation class for Feature iterator. This iterator is a single pass iterator. We may fetch the Feature referenced by an iterator previously stored, but never resume the iteration after a call to Layer::begin(), Layer::start_at(), Layer::CreateFeature(), Layer::DeleteFeature(), Layer::GetFeature(), Layer::SetFeature(), nor fork the iteration |
 itk_jpeg_error_mgr | |
 itk_simple_alloc< T, Alloc > | |
 itkBSplineCenteredL2ResampleImageFilterBase | Uses the "Centered L2" B-Spline pyramid implementation of B-Spline Filters to up/down sample an image by a factor of 2 |
 itk::fem::ItpackSparseMatrix | Compressed row sparse matrix representation that makes use of itpack to dynamically assemble the matrix |
 itk::Functor::JoinFunctor< TPixel1, TPixel2 > | Join the components of two pixel types into a single pixel type |
 otb::Functor::JoinHistogramMI< TInput1, TInput2, TOutput > | |
 otb::Functor::JoinHistogramMI< itk::ConstNeighborhoodIterator< TInputImage1 >, itk::ConstNeighborhoodIterator< TInputImage2 >, TOutputImage::PixelType > | |
 otb::JPEG2000InternalReader | |
 otb::JPEG2000MetadataReader | |
 otb::JPEG2000TileCache | |
 itk::JPEGFileWrapper | |
 itk::KalmanLinearEstimator< T, VEstimatorDimension > | Implement a linear recursive estimator |
 itk::Statistics::KdTreeNode< TSample > | This class defines the interface of its derived classes |
  itk::Statistics::KdTreeNonterminalNode< TSample > | This is a subclass of the KdTreeNode |
  itk::Statistics::KdTreeTerminalNode< TSample > | This class is the node that doesn't have any child node. The IsTerminal method returns true for this class. This class stores the instance identifiers belonging to this node, while the nonterminal nodes do not store them. The AddInstanceIdentifier and GetInstanceIdentifier are storing and retrieving the instance identifiers belonging to this node |
  itk::Statistics::KdTreeWeightedCentroidNonterminalNode< TSample > | This is a subclass of the KdTreeNode |
 otb::Meanshift::KernelGaussian | |
 otb::Meanshift::KernelUniform | |
 otb::MetaDataKey::KeyTypeDef | |
 itk::KLMDynamicBorderArray< TBorder > | Object maintaining a reference to a list of borders associated with a region |
 otb::Functor::KullbackLeiblerDistance< TInput1, TInput2, TOutput > | Functor for KullbackLeiblerDistanceImageFilter. Please refer to KullbackLeiblerDistanceImageFilter |
 otb::Functor::KullbackLeiblerDistance< itk::ConstNeighborhoodIterator< TInputImage1 >, itk::ConstNeighborhoodIterator< TInputImage2 >, TOutputImage::PixelType > | |
 otb::Functor::KullbackLeiblerProfile< TInput1, TInput2, TOutput > | Functor for KullbackLeiblerProfileImageFilter. Please refer to KullbackLeiblerProfileImageFilter |
 otb::Functor::KullbackLeiblerProfile< itk::ConstNeighborhoodIterator< TInputImage1 >, itk::ConstNeighborhoodIterator< TInputImage2 >, TOutputImage::PixelType > | |
 otb::Functor::KullbackLeiblerSupervizedDistance< TInput1, TInput2, TInputROIImage, TOutput > | Functor for KullbackLeiblerSupervizedDistanceImageFilter. Please refer to KullbackLeiblerSupervizedDistanceImageFilter |
 otb::Functor::KullbackLeiblerSupervizedDistance< itk::ConstNeighborhoodIterator< TInputImage1 >, itk::ConstNeighborhoodIterator< TInputImage2 >, TInputROIImage, TOutputImage::PixelType > | |
 itk::Functor::KurtosisLabelObjectAccessor< TLabelObject > | |
 otb::LabeledOutputAccessor< TFilter > | Accessor to the index of the labeled output image of the Template Filter |
 otb::LabeledOutputAccessor< MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledImage, TBufferConverter > > | |
 otb::LabeledOutputAccessor< MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TOutputImage2, TKernelType > > | |
 otb::LabeledOutputAccessor< MeanShiftVectorImageFilter< TInputImage, TOutputImage, TLabeledImage > > | |
 itk::LabelGeometryImageFilter< TLabelImage, TIntensityImage >::LabelGeometry | Geometry stored per label |
 itk::Functor::LabelLabelObjectAccessor< TLabelObject > | |
 itk::Functor::LabelObjectComparator< TLabelObject, TAttributeAccessor > | |
 otb::Functor::LabelObjectFieldsFunctor< TLabelObject > | Returns additionnal OGR fields to be saved in VectorData |
 itk::LabelObjectLine< VImageDimension > | |
 LabelObjectLineComparator | Performs a comparison of l1 < l2. Returns true if l1 is strictly less than l2 |
 itk::Functor::LabelObjectLineComparator< TLabelObjectLine > | |
 LabelObjectOpeningMuParserImageFilter | Label Object opening using shape and radiometric attributes. Acception/rejection criteria is user defined via MuParser function |
 itk::Functor::LabelObjectReverseComparator< TLabelObject, TAttributeAccessor > | |
 otb::Functor::LabelObjectToPolygonFunctor< TLabelObject, TPolygon > | This class vectorizes a LabelObject to a Polygon |
 otb::Functor::LabelObjectWithClassLabelFieldsFunctor< TLabelObject > | Returns additionnal OGR fields to be saved in VectorData |
 itk::Functor::LabelOverlayFunctor< TInputPixel, TLabel, TRGBPixel > | Functor for applying a colormap to a label image and combine it with a grayscale image |
 itk::Functor::LabelOverlayFunctor< TInputImage::PixelType, TLabelImage::PixelType, TOutputImage::PixelType > | |
 itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::LabelStatistics | Statistics stored per label |
 itk::Functor::LabelToRGBFunctor< TLabel, TRGBPixel > | Functor for converting labels into RGB triplets |
 itk::Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > | |
 itk::Function::LanczosWindowFunction< VRadius, TInput, TOutput > | Window function for sinc interpolation.
Note: Paper referenced in WindowedSincInterpolateImageFunction gives an incorrect definition of this window function |
 otb::Function::LanczosWindowFunction< TInput, TOutput > | Window function for sinc interpolation.
Note: Paper referenced in WindowedSincInterpolateImageFunctionBase gives an incorrect definition of this window function |
 otb::Function::LanczosWindowFunction< TInputInterpolator, TOutputInterpolator > | |
 otb::Functor::LandsatTM::LandsatTMIndexBase< TInput, TOutput > | Base class for Landsat-TM indices |
  otb::Functor::LandsatTM::KernelSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::BarrenLandOrBuiltUpOrCloudsSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::DominantBlueSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::FlatResponseBarrenLandOrBuiltUpSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::PitbogOrGreenhouseSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::RangelandSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::ShadowCloudOrSnowSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::ShadowWithBarrenLandSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::ShadowWithVegetationSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::SnowOrIceSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::SpectralRuleBasedClassifier< TInput, TOutput > | Implementation of the SpectralRuleBasedClassifier for Landsat TM image land cover classification as described in table IV of Baraldi et al. 2006, "Automatic Spectral Rule-Based
Preliminary Mapping of Calibrated Landsat TM and ETM+ Images", IEEE Trans. on Geoscience and Remote Sensing, vol 44, no 9. This classifier assumes that the input image is calibrated in reflectances and in temperature. The reflectances can be given in the 0-1 range (Normalized) or in 0-1000 (Thousands). Temperatures can be given in Kelvin, in Kelvin*100 or in Celsius. Appropriate accessors are available for setting these units |
   otb::Functor::LandsatTM::ThickCloudsSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::ThinCloudsSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::VegetationSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::WaterOrShadowSpectralRule< TInput, TOutput > | |
   otb::Functor::LandsatTM::WetlandSpectralRule< TInput, TOutput > | |
  otb::Functor::LandsatTM::LandsatTMIndex< TInput, TOutput > | |
   otb::Functor::LandsatTM::BIO< TInput, TOutput > | |
   otb::Functor::LandsatTM::Bright< TInput, TOutput > | |
   otb::Functor::LandsatTM::MIR1< TInput, TOutput > | |
   otb::Functor::LandsatTM::MIR2< TInput, TOutput > | |
   otb::Functor::LandsatTM::MIRTIR< TInput, TOutput > | |
   otb::Functor::LandsatTM::NDBBBI< TInput, TOutput > | |
   otb::Functor::LandsatTM::NDBSI< TInput, TOutput > | |
   otb::Functor::LandsatTM::NDSI< TInput, TOutput > | |
   otb::Functor::LandsatTM::NDSIVis< TInput, TOutput > | |
   otb::Functor::LandsatTM::NDVI< TInput, TOutput > | |
   otb::Functor::LandsatTM::NIR< TInput, TOutput > | |
   otb::Functor::LandsatTM::TIR< TInput, TOutput > | |
   otb::Functor::LandsatTM::Vis< TInput, TOutput > | |
 otb::Functor::LandsatTM::LandsatTMIndexBase< TInput, itk::FixedArray< unsigned int, 11 > > | |
  otb::Functor::LandsatTM::LinguisticVariables< TInput > | |
 LandsatTMLinguisticVariables | |
 otb::ogr::Layer | Layer of geometric objets |
 otb::LayerValueGenerator< TInputPixelType, TLayerValueType > | TODO |
 otb::LayerValueGenerator< itk::RGBAPixel< TInputInternalPixelType >, TLayerValueType > | |
 otb::LayerValueGenerator< itk::RGBPixel< TInputInternalPixelType >, TLayerValueType > | |
 otb::LayerValueGenerator< itk::VariableLengthVector< TInputInternalPixelType >, TLayerValueType > | |
 LearningFunctionBase | The LearningFunctionBase is the base class for all the learning strategies. These include error back propagation, bp+momentum, conjugte gradient descent, quick prop. This class specifies how the errors are backpropagated for a layer. They take a LayerBase object as input and compute the input for the layers input weightset |
 itk::Statistics::MeanShiftModeCacheMethod< TMeasurementVector >::LessMeasurementVector | |
 itk::Concept::LessThanComparable< T1, T2 > | |
 otb::Functor::LevelingFunctor< TInput, TInputMap, TOutput > | This functor performs the pixel-wise leveling operation needed in the geodesic morphology decomposition filter. For more details, please refer to the documentation of this filter |
 otb::Functor::LevelingFunctor< TInputImage::PixelType, TInputMaps::PixelType, TOutputImage::PixelType > | |
 itk::LevelSetNode< TPixel, VSetDimension > | Represent a node in a level set |
  itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::AxisNodeType | |
 itk::LevelSetTypeDefault< TLevelSet > | Level set type information |
 otb::Functor::LHMI< TInput1, TInput2, TOutput > | TODO |
 otb::Functor::LHMI< itk::ConstNeighborhoodIterator< TInputImage1 >, itk::ConstNeighborhoodIterator< TInputImage2 >, TOutputImage::PixelType > | |
 itk::LightObject | Light weight base class for most itk classes |
  itk::BinaryMedialNodeMetric< itkGetStaticConstMacro(NDimensions)> | |
  itk::FiniteDifferenceFunction< TDeformationField > | |
   itk::PDEDeformableRegistrationFunction< TFixedImage, TMovingImage, TDeformationField > | |
    itk::DemonsRegistrationFunction< TFixedImage, TMovingImage, TDeformationField > | |
    itk::ESMDemonsRegistrationFunction< TFixedImage, TMovingImage, TDeformationField > | Fast implementation of the symmetric demons registration force |
    itk::FastSymmetricForcesDemonsRegistrationFunction< TFixedImage, TMovingImage, TDeformationField > | |
    itk::LevelSetMotionRegistrationFunction< TFixedImage, TMovingImage, TDeformationField > | |
    itk::MeanSquareRegistrationFunction< TFixedImage, TMovingImage, TDeformationField > | |
    itk::MIRegistrationFunction< TFixedImage, TMovingImage, TDeformationField > | |
    itk::NCCRegistrationFunction< TFixedImage, TMovingImage, TDeformationField > | |
    itk::SymmetricForcesDemonsRegistrationFunction< TFixedImage, TMovingImage, TDeformationField > | |
    otb::NCCRegistrationFunction< TFixedImage, TMovingImage, TDeformationField > | |
  itk::FiniteDifferenceFunction< TImage > | |
   itk::AnisotropicDiffusionFunction< TImage > | |
    itk::ScalarAnisotropicDiffusionFunction< TImage > | |
     itk::CurvatureNDAnisotropicDiffusionFunction< TImage > | |
     itk::GradientNDAnisotropicDiffusionFunction< TImage > | |
    itk::VectorAnisotropicDiffusionFunction< TImage > | |
     itk::VectorCurvatureNDAnisotropicDiffusionFunction< TImage > | |
     itk::VectorGradientNDAnisotropicDiffusionFunction< TImage > | |
   itk::CurvatureFlowFunction< TImage > | This class encapsulate the finite difference equation which drives a curvature flow denoising algorithm |
    itk::MinMaxCurvatureFlowFunction< TImage > | |
     itk::BinaryMinMaxCurvatureFlowFunction< TImage > | |
  itk::FiniteDifferenceFunction< TInput > | |
   itk::RegionBasedLevelSetFunction< TInput, TFeature, TSharedData > | LevelSet function that computes a speed image based on regional integrals |
  itk::FiniteDifferenceFunction< TInputImage > | |
   itk::RegionBasedLevelSetFunction< TInputImage, TFeatureImage, TSharedData > | |
    itk::ScalarRegionBasedLevelSetFunction< TInputImage, TFeatureImage, TSharedData > | LevelSet function that computes a speed image based on regional integrals |
     itk::ScalarChanAndVeseLevelSetFunction< TInputImage, TFeatureImage, TSharedData > | LevelSet function that computes a speed image based on regional integrals of probabilities |
  itk::FiniteDifferenceFunction< TSparseImageType > | |
   itk::FiniteDifferenceSparseImageFunction< TSparseImageType > | This is the base class for function classes that can be used with filters derived from FiniteDifferenceSparseImageFilter |
    itk::NormalVectorFunctionBase< TSparseImageType > | This class defines the common functionality for Sparse Image neighborhoods of unit vectors |
     itk::NormalVectorDiffusionFunction< TSparseImageType > | This class defines all the necessary functionality for performing isotropic and anisotropic diffusion operations on vector neighborhoods from a sparse image |
  itk::Barrier | Standard barrier class implementation for synchronizing the execution of threads |
  itk::BinaryMedialNodeMetric< VDimensions > | |
  itk::CellInterface< TPixelType, TCellTraits >::MultiVisitor | A visitor that can visit different cell types in a mesh. CellInterfaceVisitor instances can be registered for each type of cell that needs to be visited |
  itk::CellInterfaceVisitor< TPixelType, TCellTraits > | |
   itk::CellInterfaceVisitorImplementation< TPixelType, TCellTraits, CellTopology, UserVisitor > | |
  itk::ConditionVariable | A thread synchronization object used to suspend execution until some condition on shared data is met |
  itk::ExceptionObject::ReferenceCountedExceptionData | Reference counted exception data, used to implement itk::ExceptionObject |
  itk::FiniteDifferenceFunction< TImageType > | |
   itk::LevelSetFunction< TImageType > | The LevelSetFunction class is a generic function object which can be used to create a level set method filter when combined with an appropriate finite difference image filter. (See FiniteDifferenceImageFilter.) |
    itk::LevelSetFunctionWithRefitTerm< TImageType, TSparseImageType > | This class extends the LevelSetFunction class by adding a grow term based on a target curvature stored in a sparse image |
    itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType > | |
     itk::CannySegmentationLevelSetFunction< TImageType, TFeatureImageType > | A refinement of the standard level-set function which computes a speed term and advection term based on pseudo-Canny edges. See CannySegmentationLevelSetImageFilter for complete information |
     itk::CurvesLevelSetFunction< TImageType, TFeatureImageType > | This function is used in CurvesLevelSetImageFilter to segment structures in images based on user supplied edge potential map |
     itk::GeodesicActiveContourLevelSetFunction< TImageType, TFeatureImageType > | This function is used in GeodesicActiveContourLevelSetImageFilter to segment structures in an image based on a user supplied edge potential map |
     itk::LaplacianSegmentationLevelSetFunction< TImageType, TFeatureImageType > | This function is used in LaplacianSegmentationImageFilter to segment structures in an image based Laplacian edges |
     itk::ShapeDetectionLevelSetFunction< TImageType, TFeatureImageType > | This function is used in the ShapeDetectionLevelSetImageFilter to segment structures in an image based on a user supplied edge potential map |
     itk::ShapePriorSegmentationLevelSetFunction< TImageType, TFeatureImageType > | This function is used in ShapePriorSegmentationLevelSetFilter to segment structures in an image based on user supplied edge potential map and shape model |
      itk::GeodesicActiveContourShapePriorLevelSetFunction< TImageType, TFeatureImageType > | This function is used in GeodesicActiveContourShapePriorSegmentationLevelSetFilter to segment structures in an image based on user supplied edge potential map and shape model |
     itk::ThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType > | This function is used in ThresholdSegmentationLevelSetImageFilter to segment structures in images based on intensity values |
     itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType > | This function is used in VectorThresholdSegmentationLevelSetImageFilter to segment structures in images based on the Mahalanobis distance |
  itk::LabelObject< TLabel, VImageDimension > | The base class for the representation of an labeled binary object in an image |
   itk::AttributeLabelObject< TLabel, VImageDimension, TAttributeValue > | A LabelObject with a generic attribute |
   itk::ShapeLabelObject< TLabel, VImageDimension > | A Label object to store the common attributes related to the shape of the object |
    itk::StatisticsLabelObject< TLabel, VImageDimension > | A Label object to store the common attributes related to the statistics of the object |
   otb::AttributesMapLabelObject< TLabel, VImageDimension, TAttributesValue > | A LabelObject with a generic attributes map |
    otb::AttributesMapLabelObjectWithClassLabel< TLabel, VImageDimension, TAttributesValue, TClassLabel > | An AttributesMapLabelObject with an optional class label |
  itk::MetaDataObjectBase | Designed as the common interface for MetaDataObject's. This class is intended as the value part of the (key,value) pair to be stored in a MetaDataDictionary |
   itk::MetaDataObject< MetaDataObjectType > | |
  itk::MRCHeaderObject | This class is a light wrapper for a couple of plain old data structures, so that they can be utilized in a MetaDataDictionary |
  itk::NarrowBand< NodeType > | |
  itk::Object | Base class for most itk classes |
   itk::CenteredTransformInitializer< VersorRigid3DTransform< double >, TFixedImage, TMovingImage > | |
    itk::CenteredVersorTransformInitializer< TFixedImage, TMovingImage > | CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform |
   itk::FunctionBase< Array< double >, double > | |
    itk::Statistics::MembershipFunctionBase< Array< double > > | |
     itk::Statistics::DistanceMetric< Array< double > > | |
      itk::Statistics::EuclideanDistance< Array< double > > | |
   itk::FunctionBase< ContinuousIndex< TCoordRep, VSpaceDimension >, Array< double > > | |
    itk::BSplineInterpolationWeightFunction< TCoordRep, VSpaceDimension, VSplineOrder > | Returns the weights over the support region used for B-spline interpolation/reconstruction |
   itk::FunctionBase< DataNode< TCoordRep, 2, TPrecision >, std::vector< TPrecision > > | |
    otb::DataNodeFunctionBase< DataNode< TCoordRep, 2, TPrecision >, std::vector< TPrecision > > | |
     otb::DataNodeVectorDataFunction< std::vector< TPrecision >, TCoordRep, TPrecision > | |
      otb::DBOverlapDataNodeFeatureFunction< TCoordRep, TPrecision > | |
   itk::FunctionBase< DataNode< TCoordRep, 2, TPrecision >, TOutput > | |
    otb::DataNodeFunctionBase< DataNode< TCoordRep, 2, TPrecision >, TOutput > | |
     otb::DataNodeVectorDataFunction< TOutput, TCoordRep, TPrecision > | TODO |
   itk::FunctionBase< DataNode< TCoordRep,::itk::GetImageDimension< TImage >::ImageDimension, TPrecision >, std::vector< TPrecision > > | |
    otb::DataNodeFunctionBase< DataNode< TCoordRep,::itk::GetImageDimension< TImage >::ImageDimension, TPrecision >, std::vector< TPrecision > > | |
     otb::DataNodeImageFunction< TImage, std::vector< TPrecision >, TCoordRep, TPrecision > | |
      otb::NDVIDataNodeFeatureFunction< TImage, TCoordRep, TPrecision > | Compute a NDVI based feature alongside a datanode |
      otb::ParserConditionDataNodeFeatureFunction< TImage, TCoordRep, TPrecision > | Compute a ParserCondition based feature alongside a datanode |
      otb::RadiometryHomogenousWithNeighborhoodDataNodeFeatureFunction< TImage, TCoordRep, TPrecision > | Compute the spectral angle between the radiometry along a line and its neighborhood |
      otb::SpectralAngleDataNodeFeatureFunction< TImage, TCoordRep, TPrecision > | Compute a spectral angle based feature alongside a datanode |
   itk::FunctionBase< DataNode< TCoordRep,::itk::GetImageDimension< TImage >::ImageDimension, TPrecision >, TOutput > | |
    otb::DataNodeFunctionBase< DataNode< TCoordRep,::itk::GetImageDimension< TImage >::ImageDimension, TPrecision >, TOutput > | |
     otb::DataNodeImageFunction< TImage, TOutput, TCoordRep, TPrecision > | TODO |
   itk::FunctionBase< double, double > | |
    itk::KernelFunction | Kernel used for density estimation and nonparameteric regression |
     itk::BSplineDerivativeKernelFunction< VSplineOrder > | Derivative of a BSpline kernel used for density estimation and nonparameteric regression |
     itk::BSplineKernelFunction< VSplineOrder > | BSpline kernel used for density estimation and nonparameteric regression |
     itk::CoxDeBoorBSplineKernelFunction< VSplineOrder > | BSpline kernel used for density estimation and nonparameteric regression |
     itk::GaborKernelFunction | Gabor kernel used for various computer vision tasks |
     itk::GaussianKernelFunction | Gaussian kernel used for density estimation and nonparameteric regression |
   itk::FunctionBase< itk::Point< TCoordRep, 2 >, itk::VariableLengthVector< TOutputPrecision > > | |
    otb::MetaImageFunction< TOutputPrecision, TCoordRep > | Concatenate results from multiple ImageFunction |
   itk::FunctionBase< itk::Point< TCoordRep,::itk::GetPointSetDimension< TPointSet >::PointDimension >, TValue > | |
    otb::PointSetAndValuesFunction< TPointSet, TValue, TCoordRep > | Base class for function needing a point set and a set of associated value to compute the output |
   itk::FunctionBase< Point< float,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput > | |
    itk::ImageFunction< TInputImage, TOutput > | |
     itk::GaussianBlurImageFunction< TInputImage, TOutput > | Compute the convolution of a neighborhood operator with the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type |
     itk::NeighborhoodOperatorImageFunction< TInputImage, TOutput > | Compute the convolution of a neighborhood operator with the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type |
   itk::FunctionBase< Point< TCoordRep, VSpaceDimension >, double > | |
    itk::SpatialFunction< double, VSpaceDimension, Point< TCoordRep, VSpaceDimension > > | |
     itk::ShapeSignedDistanceFunction< TCoordRep, VSpaceDimension > | Base class for functions which evaluates the signed distance from a shape |
      itk::PCAShapeSignedDistanceFunction< TCoordRep, VSpaceDimension, TImage > | Compute the signed distance from a N-dimensional PCA Shape |
      itk::SphereSignedDistanceFunction< TCoordRep, VSpaceDimension > | Compute the signed distance from a N-dimensional sphere |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< otb::VectorImage< TPixel, VImageDimension > >::ImageDimension >, NumericTraits< otb::VectorImage< TPixel, VImageDimension >::PixelType >::RealType > | |
    itk::ImageFunction< otb::VectorImage< TPixel, VImageDimension >, NumericTraits< otb::VectorImage< TPixel, VImageDimension >::PixelType >::RealType, TCoordRep > | |
     itk::InterpolateImageFunction< otb::VectorImage< TPixel, VImageDimension >, TCoordRep > | |
      otb::BCOInterpolateImageFunctionBase< otb::VectorImage< TPixel, VImageDimension >, TCoordRep > | |
       otb::BCOInterpolateImageFunction< otb::VectorImage< TPixel, VImageDimension >, TCoordRep > | |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TImageType >::ImageDimension >, NumericTraits< TImageType::PixelType >::RealType > | |
    itk::ImageFunction< TImageType, NumericTraits< TImageType::PixelType >::RealType, TCoordRep > | |
     itk::InterpolateImageFunction< TImageType, TCoordRep > | |
      itk::BSplineInterpolateImageFunction< TImageType, TCoordRep, TImageType::PixelType > | |
       itk::BSplineResampleImageFunction< TImageType, TCoordRep > | Resample image intensity from a BSpline coefficient image |
      itk::BSplineInterpolateImageFunction< TImageType, TCoordRep, TImageType::PixelType > | |
      itk::BSplineInterpolateImageFunction< TImageType, TCoordRep, TCoefficientType > | Evaluates the B-Spline interpolation of an image. Spline order may be from 0 to 5 |
      itk::BSplineInterpolateImageFunction< TImageType, TCoordRep, TCoefficientType > | Evaluates the B-Spline interpolation of an image. Spline order may be from 0 to 5 |
      itk::ComplexBSplineInterpolateImageFunction< TImageType, TCoordRep, TCoefficientType > | Complex wrapper around BSplineInterpolateImageFunction |
      otb::BSplineInterpolateImageFunction< TImageType, TCoordRep, TCoefficientType > | This class is an evolution of the itk::BSplineInterpolateImageFunction to handle huge images with this interpolator. For more documentation, please refer to the original class |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, bool > | |
    itk::ImageFunction< TInputImage, bool, TCoordRep > | |
     itk::BinaryThresholdImageFunction< TInputImage, TCoordRep > | Returns true is the value of an image lies within a range of thresholds This ImageFunction returns true (or false) if the pixel value lies within (outside) a lower and upper threshold value. The threshold range can be set with the ThresholdBelow, ThresholdBetween or ThresholdAbove methods. The input image is set via method SetInputImage() |
      itk::NeighborhoodBinaryThresholdImageFunction< TInputImage, TCoordRep > | Determine whether all the pixels in the specified neighborhood meet a threshold criteria |
     itk::MahalanobisDistanceThresholdImageFunction< TInputImage, TCoordRep > | Returns true if the pixel value of a vector image has a Mahalanobis distance below the value specified by the threshold |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, CovariantVector< double,::itk::GetImageDimension< TInputImage >::ImageDimension > > | |
    itk::ImageFunction< TInputImage, CovariantVector< double,::itk::GetImageDimension< TInputImage >::ImageDimension >, TCoordRep > | |
     itk::CentralDifferenceImageFunction< TInputImage, TCoordRep > | Calculate the derivative by central differencing |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, FixedArray< NumericTraits< TInputImage::PixelType::ValueType >::RealType,::itk::GetVectorDimension< TInputImage::PixelType >::VectorDimension > > | |
    itk::ImageFunction< TInputImage, FixedArray< NumericTraits< TInputImage::PixelType::ValueType >::RealType,::itk::GetVectorDimension< TInputImage::PixelType >::VectorDimension >, TCoordRep > | |
     itk::VectorMeanImageFunction< TInputImage, TCoordRep > | Calculate the mean value in the neighborhood of a pixel in a Vector image |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, itk::FixedArray< itk::NumericTraits< TInputImage::PixelType >::RealType, 11 > > | |
    itk::ImageFunction< TInputImage, itk::FixedArray< itk::NumericTraits< TInputImage::PixelType >::RealType, 11 >, TCoordRep > | |
     otb::FlusserMomentsImageFunction< TInputImage, TCoordRep > | Calculate the Flusser's invariant parameters |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, itk::FixedArray< itk::NumericTraits< TInputImage::PixelType >::RealType, 4 > > | |
    itk::ImageFunction< TInputImage, itk::FixedArray< itk::NumericTraits< TInputImage::PixelType >::RealType, 4 >, TCoordRep > | |
     otb::RadiometricMomentsImageFunction< TInputImage, TCoordRep > | Calculate the radiometric moments |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, itk::FixedArray< itk::NumericTraits< TInputImage::PixelType >::RealType, 7 > > | |
    itk::ImageFunction< TInputImage, itk::FixedArray< itk::NumericTraits< TInputImage::PixelType >::RealType, 7 >, TCoordRep > | |
     otb::HuMomentsImageFunction< TInputImage, TCoordRep > | Calculate the Hu's invariant parameters |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, itk::FixedArray< itk::NumericTraits< TInputImage::PixelType >::RealType, 8 > > | |
    itk::ImageFunction< TInputImage, itk::FixedArray< itk::NumericTraits< TInputImage::PixelType >::RealType, 8 >, TCoordRep > | |
     otb::HaralickTexturesImageFunction< TInputImage, TCoordRep > | Compute the 8 Haralick texture indices on the neighborhood of the point |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, itk::NumericTraits< TInputImage::PixelType >::AbsType > | |
    itk::ImageFunction< TInputImage, itk::NumericTraits< TInputImage::PixelType >::AbsType, TCoordRep > | |
     otb::SarBrightnessFunction< TInputImage, TCoordRep > | Calculate the backscatter for the given pixel |
     otb::SarRadiometricCalibrationFunction< TInputImage, TCoordRep > | Calculate the backscatter for the given pixel |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, itk::NumericTraits< TInputImage::PixelType >::RealType > | |
    itk::ImageFunction< TInputImage, itk::NumericTraits< TInputImage::PixelType >::RealType, TCoordRep > | |
     otb::BinaryImageDensityFunction< TInputImage, TCoordRep > | Calculate the density pixel of in the neighborhood of a pixel |
     otb::TextureImageFunction< TInputImage, TFunctor, TCoordRep > | Calculate a texture over an image |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, itk::NumericTraits< TInputImage::PixelType >::ScalarRealType > | |
    itk::ImageFunction< TInputImage, itk::NumericTraits< TInputImage::PixelType >::ScalarRealType, TCoordRep > | |
     otb::SarParametricMapFunction< TInputImage, TCoordRep > | Evaluates a parametric bidimensionnal polynomial model from a PointSet |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, itk::Statistics::Histogram< TInputImage::PixelType >::Pointer > | |
    itk::ImageFunction< TInputImage, itk::Statistics::Histogram< TInputImage::PixelType >::Pointer, TCoordRep > | |
     otb::LocalHistogramImageFunction< TInputImage, TCoordRep > | Calculate a local histogram over a specified circular neighborhood |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, itk::Vector< float, 2 > > | |
    itk::ImageFunction< TInputImage, itk::Vector< float, 2 >, TCoordRep > | |
     otb::GroundSpacingImageFunction< TInputImage, TCoordRep > | Calculate the approximate ground spacing in X and Y directions |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, Matrix< double,::itk::GetDimension< TInputImage::PixelType >::Dimension,::itk::GetImageDimension< TInputImage >::ImageDimension > > | |
    itk::ImageFunction< TInputImage, Matrix< double,::itk::GetDimension< TInputImage::PixelType >::Dimension,::itk::GetImageDimension< TInputImage >::ImageDimension >, TCoordRep > | |
     itk::VectorCentralDifferenceImageFunction< TInputImage, TCoordRep > | Calculate the derivative by central differencing |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, NumericTraits< TInputImage::PixelType >::RealType > | |
    itk::ImageFunction< TInputImage, NumericTraits< TInputImage::PixelType >::RealType, TCoordRep > | |
     itk::ExtrapolateImageFunction< TInputImage, TCoordRep > | Base class for all image extrapolaters |
      itk::NearestNeighborExtrapolateImageFunction< TInputImage, TCoordRep > | Nearest neighbor extrapolation of a scalar image |
     itk::InterpolateImageFunction< TInputImage, TCoordRep > | Base class for all image interpolaters |
      otb::GenericInterpolateImageFunction< TInputImage, Function::BlackmanWindowFunction< TInputInterpolator, TOutputInterpolator >, TBoundaryCondition, TCoordRep > | |
       otb::WindowedSincInterpolateImageFunctionBase< TInputImage, Function::BlackmanWindowFunction< TInputInterpolator, TOutputInterpolator >, TBoundaryCondition, TCoordRep > | |
        otb::WindowedSincInterpolateImageBlackmanFunction< TInputImage, TBoundaryCondition, TCoordRep, TInputInterpolator, TOutputInterpolator > | Use the WindowedSincInterpolateImageFunctionBase with a Blackman Function |
      otb::GenericInterpolateImageFunction< TInputImage, Function::CosineWindowFunction< TInputInterpolator, TOutputInterpolator >, TBoundaryCondition, TCoordRep > | |
       otb::WindowedSincInterpolateImageFunctionBase< TInputImage, Function::CosineWindowFunction< TInputInterpolator, TOutputInterpolator >, TBoundaryCondition, TCoordRep > | |
        otb::WindowedSincInterpolateImageCosineFunction< TInputImage, TBoundaryCondition, TCoordRep, TInputInterpolator, TOutputInterpolator > | Use the WindowedSincInterpolateImageFunctionBase with a Cosine Function |
      otb::GenericInterpolateImageFunction< TInputImage, Function::GaussianWindowFunction< TInputInterpolator, TOutputInterpolator >, TBoundaryCondition, TCoordRep > | |
       otb::WindowedSincInterpolateImageFunctionBase< TInputImage, Function::GaussianWindowFunction< TInputInterpolator, TOutputInterpolator >, TBoundaryCondition, TCoordRep > | |
        otb::WindowedSincInterpolateImageGaussianFunction< TInputImage, TBoundaryCondition, TCoordRep, TInputInterpolator, TOutputInterpolator > | Use the WindowedSincInterpolateImageFunctionBase with a Gaussian Function |
      otb::GenericInterpolateImageFunction< TInputImage, Function::HammingWindowFunction< TInputInterpolator, TOutputInterpolator >, TBoundaryCondition, TCoordRep > | |
       otb::WindowedSincInterpolateImageFunctionBase< TInputImage, Function::HammingWindowFunction< TInputInterpolator, TOutputInterpolator >, TBoundaryCondition, TCoordRep > | |
        otb::WindowedSincInterpolateImageHammingFunction< TInputImage, TBoundaryCondition, TCoordRep, TInputInterpolator, TOutputInterpolator > | Use the WindowedSincInterpolateImageFunctionBase with a Hamming Function |
      otb::GenericInterpolateImageFunction< TInputImage, Function::LanczosWindowFunction< TInputInterpolator, TOutputInterpolator >, TBoundaryCondition, TCoordRep > | |
       otb::WindowedSincInterpolateImageFunctionBase< TInputImage, Function::LanczosWindowFunction< TInputInterpolator, TOutputInterpolator >, TBoundaryCondition, TCoordRep > | |
        otb::WindowedSincInterpolateImageLanczosFunction< TInputImage, TBoundaryCondition, TCoordRep, TInputInterpolator, TOutputInterpolator > | Use the WindowedSincInterpolateImageFunctionBase with a Lanczos Function |
      otb::GenericInterpolateImageFunction< TInputImage, Function::ProlateFunction< TInputInterpolator, TOutputInterpolator >, TBoundaryCondition, TCoordRep > | |
       otb::ProlateInterpolateImageFunction< TInputImage, TBoundaryCondition, TCoordRep, TInputInterpolator, TOutputInterpolator > | Prolate interpolation of an otb::image |
      otb::GenericInterpolateImageFunction< TInputImage, Function::WelchWindowFunction< TInputInterpolator, TOutputInterpolator >, TBoundaryCondition, TCoordRep > | |
       otb::WindowedSincInterpolateImageFunctionBase< TInputImage, Function::WelchWindowFunction< TInputInterpolator, TOutputInterpolator >, TBoundaryCondition, TCoordRep > | |
        otb::WindowedSincInterpolateImageWelchFunction< TInputImage, TBoundaryCondition, TCoordRep, TInputInterpolator, TOutputInterpolator > | Use the WindowedSincInterpolateImageFunctionBase with a Welch Function |
      otb::GenericInterpolateImageFunction< TInputImage, TWindowFunction, TBoundaryCondition, TCoordRep > | |
       otb::WindowedSincInterpolateImageFunctionBase< TInputImage, TWindowFunction, TBoundaryCondition, TCoordRep > | Use the windowed sinc function to interpolate |
      itk::LinearInterpolateImageFunction< TInputImage, TCoordRep > | Linearly interpolate an image at specified positions |
      itk::LinearInterpolateImageFunction< TInputImage, TCoordRep > | Linearly interpolate an image at specified positions |
      itk::NearestNeighborInterpolateImageFunction< TInputImage, TCoordRep > | Nearest neighbor interpolation of a scalar image |
      itk::RayCastInterpolateImageFunction< TInputImage, TCoordRep > | Projective interpolation of an image at specified positions |
      itk::WindowedSincInterpolateImageFunction< TInputImage, VRadius, TWindowFunction, TBoundaryCondition, TCoordRep > | Use the windowed sinc function to interpolate |
      otb::BCOInterpolateImageFunctionBase< TInputImage, TCoordRep > | |
       otb::BCOInterpolateImageFunction< TInputImage, TCoordRep > | Interpolate an image at specified positions using bicubic interpolation |
      otb::GenericInterpolateImageFunction< TInputImage, TFunction, TBoundaryCondition, TCoordRep > | Generic interpolation of an otb::Image |
     itk::MeanImageFunction< TInputImage, TCoordRep > | Calculate the mean value in the neighborhood of a pixel |
     itk::SumOfSquaresImageFunction< TInputImage, TCoordRep > | Calculate the sum of squares in the neighborhood of a pixel |
     itk::VarianceImageFunction< TInputImage, TCoordRep > | Calculate the variance in the neighborhood of a pixel |
     itk::VectorInterpolateImageFunction< TInputImage, TCoordRep > | Base class for all vector image interpolaters |
      itk::VectorLinearInterpolateImageFunction< TInputImage, TCoordRep > | Linearly interpolate a vector image at specified positions |
      itk::VectorLinearInterpolateNearestNeighborExtrapolateImageFunction< TInputImage, TCoordRep > | Linearly interpolate or NN extrapolate a vector image at specified positions |
      itk::VectorNearestNeighborInterpolateImageFunction< TInputImage, TCoordRep > | Nearest neighbor interpolate a vector image at specified positions |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, std::vector< std::vector< itk::NumericTraits< TInputImage::PixelType >::RealType > > > | |
    itk::ImageFunction< TInputImage, std::vector< std::vector< itk::NumericTraits< TInputImage::PixelType >::RealType > >, TCoordRep > | |
     otb::FourierMellinDescriptorsImageFunction< TInputImage, TCoordRep > | Calculate the Fourier-Mellin descriptors in the specified neighborhood |
     otb::RealMomentsImageFunction< TInputImage, TCoordRep > | Calculate the moment values in the specified neighborhood |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, std::vector< std::vector< std::complex< double > > > > | |
    itk::ImageFunction< TInputImage, std::vector< std::vector< std::complex< double > > >, TCoordRep > | |
     otb::ComplexMomentsImageFunction< TInputImage, TCoordRep > | Calculate the complex moment values in the specified neighborhood |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, std::vector< std::vector< TOutputPrecision > > > | |
    itk::ImageFunction< TInputImage, std::vector< std::vector< TOutputPrecision > >, TCoordRep > | |
     otb::HistogramOfOrientedGradientCovariantImageFunction< TInputImage, TOutputPrecision, TCoordRep > | Calculate the centered HOG features |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, TInputImage::PixelType > | |
    itk::ImageFunction< TInputImage, TInputImage::PixelType, TCoordRep > | |
     itk::MedianImageFunction< TInputImage, TCoordRep > | Calculate the median value in the neighborhood of a pixel |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput > | |
    itk::ImageFunction< TInputImage, TOutput, TCoordRep > | Evaluates a function of an image at specified position |
   itk::FunctionBase< Point< TCoordRep,::itk::GetImageDimension< TInputImage >::ImageDimension >, vnl_matrix< NumericTraits< TInputImage::PixelType::ValueType >::RealType > > | |
    itk::ImageFunction< TInputImage, vnl_matrix< NumericTraits< TInputImage::PixelType::ValueType >::RealType >, TCoordRep > | |
     itk::CovarianceImageFunction< TInputImage, TCoordRep > | Calculate the covariance matrix in the neighborhood of a pixel in a Vector image |
     itk::ScatterMatrixImageFunction< TInputImage, TCoordRep > | Calculate the scatter matrix in the neighborhood of a pixel in a Vector image |
   itk::FunctionBase< Point< TInternalImageFunctionType::CoordRepType,::itk::GetImageDimension< TInternalImageFunctionType::InputImageType >::ImageDimension >, itk::VariableLengthVector< TOutputPrecision > > | |
    itk::ImageFunction< TInternalImageFunctionType::InputImageType, itk::VariableLengthVector< TOutputPrecision >, TInternalImageFunctionType::CoordRepType > | |
     otb::ImageFunctionAdaptor< TInternalImageFunctionType, TOutputPrecision > | Adapt the output of the internal image function to be a itk::VariableLengthVector |
   itk::FunctionBase< Point< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > > | |
    itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput > | |
     itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput > | Compute the Hessian Gaussian of an image at a specific location in space by calculating discrete second-order gaussian derivatives. This class is templated over the input image type |
   itk::FunctionBase< Point< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput > | |
    itk::ImageFunction< TInputImage, TOutput, TOutput > | |
     itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput > | Compute the discrete gaussian derivatives of an the image at a specific location in space, i.e. point, index or continuous index. This class computes a single derivative given the order in each direction (by default zero). This class is templated over the input image type |
     itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput > | Compute the discrete gradient magnitude gaussian of an the image at a specific location in space, i.e. point, index or continuous index. This class computes a single derivative given the order in each direction (by default zero). This class is templated over the input image type |
   itk::FunctionBase< Point< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > > | |
    itk::ImageFunction< TInputImage, Vector< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput > | |
     itk::GaussianDerivativeImageFunction< TInputImage, TOutput > | Compute the gaussian derivatives of an the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type |
   itk::FunctionBase< ScalarType, ScalarType > | |
    itk::Statistics::RadialBasisFunctionBase< ScalarType > | |
     itk::Statistics::GaussianRadialBasisFunction< ScalarType > | |
    itk::Statistics::TransferFunctionBase< ScalarType > | |
     itk::Statistics::GaussianTransferFunction< ScalarType > | |
     itk::Statistics::HardLimitTransferFunction< ScalarType > | |
     itk::Statistics::IdentityTransferFunction< ScalarType > | |
     itk::Statistics::LogSigmoidTransferFunction< ScalarType > | |
     itk::Statistics::MultiquadricRadialBasisFunction< ScalarType > | |
     itk::Statistics::SigmoidTransferFunction< ScalarType > | |
     itk::Statistics::SignedHardLimitTransferFunction< ScalarType > | |
     itk::Statistics::SymmetricSigmoidTransferFunction< ScalarType > | |
     itk::Statistics::TanHTransferFunction< ScalarType > | |
     itk::Statistics::TanSigmoidTransferFunction< ScalarType > | |
   itk::FunctionBase< TDataNode, TOutput > | |
    otb::DataNodeFunctionBase< TDataNode, TOutput > | Base class for DataNode functions |
   itk::FunctionBase< TFunction::InputType, bool > | |
    itk::SpatialFunction< bool,::itk::GetImageDimension< TFunction >::ImageDimension, TFunction::InputType > | |
     itk::BinaryThresholdSpatialFunction< TFunction > | A spatial functions that returns if the internal spatial function is within user specified thresholds |
   itk::FunctionBase< TInput, bool > | |
    itk::SpatialFunction< bool, VDimension, TInput > | |
     itk::InteriorExteriorSpatialFunction< VImageDimension, TInput > | |
      itk::FrustumSpatialFunction< VImageDimension, TInput > | Spatial function implementation of a truncated pyramid |
      itk::SphereSpatialFunction< VImageDimension, TInput > | Spatial function implementation of a sphere |
     itk::InteriorExteriorSpatialFunction< VDimension, TInput > | Returns whether or not a location is "inside" or "outside" a function |
      itk::ConicShellInteriorExteriorSpatialFunction< VDimension, TInput > | Spatial function implementation of a conic shell |
      itk::EllipsoidInteriorExteriorSpatialFunction< VDimension, TInput > | |
      itk::FiniteCylinderSpatialFunction< VDimension, TInput > | Function implementation of an finite cylinder |
      itk::SymmetricEllipsoidInteriorExteriorSpatialFunction< VDimension, TInput > | |
      itk::TorusInteriorExteriorSpatialFunction< VDimension, TInput > | Spatial function implementation of torus symmetric about the z-axis in 3D |
   itk::FunctionBase< TInputPath, TOutput > | |
    otb::PathFunction< TInputPath, TOutput > | Evaluates a function of an image over a specific path |
     otb::CompacityPathFunction< TInputPath, TOutput > | Calculate the compacity of a path. The formula of the compacity is :
|
     otb::GeometricMomentPathFunction< TInputPath, TOutput, TPrecision > | Virtual class for the Geometric moments for an path function |
      otb::ComplexMomentPathFunction< TInputPath, TOutput, TPrecision > | Calculate the complex moment value over a path |
      otb::RealMomentPathFunction< TInputPath, TOutput, TPrecision > | Virtual class for the Real moments for a path |
       otb::FlusserPathFunction< TInputPath, TOutput, TPrecision > | Calculate the Flusser's invariant parameters |
       otb::HuPathFunction< TInputPath, TOutput, TPrecision > | Calculate the Hu's invariant parameter |
     otb::OrientationPathFunction< TInputPath, TOutput > | Calculate the orientation angle of a path defined by 2 points. The result value is in radian |
   itk::FunctionBase< TMeasurementVector, double > | |
    itk::Statistics::NNetDistanceMetricBase< TMeasurementVector > | |
    itk::Statistics::MembershipFunctionBase< TMeasurementVector > | |
     itk::Statistics::DensityFunction< TMeasurementVector > | DensityFunction class defines common interfaces for density functions |
      itk::Statistics::GaussianDensityFunction< TMeasurementVector > | GaussianDensityFunction class represents Gaussian Density Function |
   itk::FunctionBase< TMeasurementVector, ScalarType > | |
    itk::Statistics::ErrorFunctionBase< TMeasurementVector, ScalarType > | |
     itk::Statistics::MeanSquaredErrorFunction< TMeasurementVector, ScalarType > | |
     itk::Statistics::SquaredDifferenceErrorFunction< TMeasurementVector, ScalarType > | |
    itk::Statistics::InputFunctionBase< TMeasurementVector, ScalarType > | |
     itk::Statistics::ProductInputFunction< TMeasurementVector, ScalarType > | |
     itk::Statistics::SumInputFunction< TMeasurementVector, ScalarType > | |
   itk::FunctionBase< TMeasurementVector, TTargetVector > | |
    itk::Statistics::ErrorFunctionBase< TMeasurementVector, TTargetVector > | |
    itk::Statistics::InputFunctionBase< TMeasurementVector, TTargetVector > | |
   itk::FunctionBase< TMesh, TMesh::EdgeListPointerType > | |
    itk::QuadEdgeMeshBoundaryEdgesMeshFunction< TMesh > | Build a list of references to edges (as GeometricalQuadEdge::RawPointer) each one representing a different boundary component |
   itk::FunctionBase< TPointSet::PointType, TOutput > | |
    itk::SpatialFunction< TOutput, 2, TPointSet::PointType > | |
     otb::PointSetFunction< TPointSet, TOutput > | Calculate the density in the neighborhood of a pixel |
      otb::PointSetDensityEpanechnikovFunction< TPointSet, TOutput > | Calculate the density in the neighborhood of a pixel using an Epanechnikov function |
      otb::PointSetDensityFunction< TPointSet, TOutput > | Calculate the density in the neighborhood of a pixel using a simple cut off method |
      otb::PointSetDensityGaussianFunction< TPointSet, TOutput > | Calculate the density in the neighborhood of a pixel using a gaussian function |
   itk::FunctionBase< TVector, double > | |
    itk::Statistics::MembershipFunctionBase< TVector > | MembershipFunctionBase class declares common interfaces for membership functions |
     itk::Statistics::DistanceMetric< TVector > | This class declares common interfaces for distance functions |
      itk::Statistics::EuclideanDistance< TVector > | Euclidean distance function |
       otb::Statistics::EuclideanDistanceWithMissingValuePow2< TVector > | Euclidean comparison distance function facing missing value. The square root is not performed in this class |
        otb::Statistics::EuclideanDistanceWithMissingValue< TVector > | Euclidean distance function facing missing value |
        otb::Statistics::FlexibleDistanceWithMissingValue< TVector > | Non-Euclidean distance function facing missing value |
      otb::GeographicalDistance< TVector > | Compute the metric distance between two geographical points |
     itk::Statistics::DistanceToCentroidMembershipFunction< TVector > | Class represents DistanceToCentroid Density Function |
     itk::Statistics::MahalanobisDistanceMembershipFunction< TVector > | MahalanobisDistanceMembershipFunction class represents MahalanobisDistance Density Function |
   otb::ImageLayerBase< TOutputImage > | |
    otb::ImageLayer< TImage, TOutputImage > | This class is a layer container. It contains everything related to a layer in the viewer model |
   itk::ImageRegionSplitter< 2 > | |
    otb::StreamingShrinkImageRegionSplitter | |
   itk::ActiveShapeModelCalculator< TImage > | Base class for ActiveShapeModelCalculator object |
   itk::ActiveShapeModelGradientSearchMethod< TImage > | Base class for ActiveShapeModelGradientSearchMethod object |
   itk::AffineGeometryFrame< TScalarType, NDimensions > | Describes the geometry of a data object |
   itk::ArchetypeSeriesFileNames | Generate an ordered sequence of filenames |
   itk::bio::CellularAggregateBase | Base class for the CellularAggregates. This base class is not templated over the space dimension |
    itk::bio::CellularAggregate< NSpaceDimension > | This class represent an aggregation of bio::Cell objects This class is the base for different types of cellular groups including bacterial colonies and pluricellular organisms |
   itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer > | Represent and compute information about bounding boxes |
   itk::BSplineDeformableTransformInitializer< TTransform, TImage > | BSplineDeformableTransformInitializer is a helper class intended to initialize the grid parameters of a BSplineDeformableTransform based on the parameters of an image |
   itk::ByteSwapper< T > | Perform machine dependent byte swapping |
   itk::CenteredTransformInitializer< TTransform, TFixedImage, TMovingImage > | CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters |
   itk::ColorTable< TPixel > | |
   itk::Command | Superclass for callback/observer methods |
    CommandIterationUpdate | |
    CommandIterationUpdate | |
    CommandIterationUpdate | |
    CommandIterationUpdate | |
    itk::CStyleCommand | Command subclass that calls a pointer to a C function |
    itk::MemberCommand< T > | Command subclass that calls a pointer to a member function |
    itk::PyCommand | Command subclass that calls a Python callable object, e.g. a Python function |
    itk::ReceptorMemberCommand< T > | Command subclass that calls a pointer to a member function |
    itk::SimpleConstMemberCommand< T > | Command subclass that calls a pointer to a member function |
    itk::SimpleMemberCommand< T > | Command subclass that calls a pointer to a member function |
    itk::WatershedMiniPipelineProgressCommand | |
    otb::CommandProgressUpdate< TFilter > | TODO |
   itk::CostFunction | Base class for cost functions intended to be used with Optimizers |
    itk::MultipleValuedCostFunction | This class is a base for the CostFunctions returning a multiple values |
     itk::CumulativeGaussianCostFunction | Cost function for the Cumulative Gaussian Optimizer |
     itk::PointSetToPointSetMetric< TFixedPointSet, TMovingPointSet > | Computes similarity between two point sets |
      itk::EuclideanDistancePointMetric< TFixedPointSet, TMovingPointSet, TDistanceMap > | Computes the minimum distance between a moving point-set and a fixed point-set. A vector of minimum closest point distance is created for each point in the moving point-set. No correspondance is needed. For speed consideration, the point-set with the minimum number of points should be used as the moving point-set. If the number of points is high, the possibility of setting a distance map should improve the speed of the closest point computation |
    itk::SingleValuedCostFunction | This class is a base for the CostFunctions returning a single value |
     itk::ImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between regions of two images |
      itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two objects to be registered |
      itk::HistogramImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two objects to be registered |
       itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage > | Compares Histograms between two images to be registered to a Training Histogram |
        itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage > | Computes the Kubler Lieblach(KL) metric between the histogram of the two images to be registered and a training histogram |
       itk::CorrelationCoefficientHistogramImageToImageMetric< TFixedImage, TMovingImage > | Computes correlation coefficient similarity measure between two images to be registered |
       itk::MeanSquaresHistogramImageToImageMetric< TFixedImage, TMovingImage > | Computes mean squared difference similarity measure between two images to be registered |
       itk::MutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage > | Computes the mutual information between two images to be registered using the histograms of the intensities in the images. This class is templated over the type of the fixed and moving images to be compared |
       itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage > | Computes normalized mutual information between two images to be registered using the histograms of the intensities in the images |
      itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two binary objects to be registered |
      itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two objects to be registered |
      itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two objects to be registered |
      itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage > | Computes the mutual information between two images to be registered using the method of Mattes et al |
      itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage > | Computes the mutual information between two images to be registered using the method of Mattes et al |
      itk::MeanReciprocalSquareDifferenceImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two objects to be registered |
      itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two objects to be registered |
      itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two objects to be registered |
      itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage > | Computes the mutual information between two images to be registered |
      itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between two images to be registered |
     itk::ImageToImageMetric< TFixedImage, TMovingImage > | Computes similarity between regions of two images |
     itk::ImageToSpatialObjectMetric< TFixedImage, TMovingSpatialObject > | Computes similarity between a moving spatial obejct and an Image to be registered |
     itk::MRIBiasEnergyFunction< TImage, TImageMask, TBiasField > | Cost function for optimization |
     itk::PointSetToImageMetric< TFixedPointSet, TMovingImage > | Computes similarity between a point set and an image |
      itk::MeanReciprocalSquareDifferencePointSetToImageMetric< TFixedPointSet, TMovingImage > | Computes similarity between pixel values of a point set and intensity values in an image |
      itk::MeanSquaresPointSetToImageMetric< TFixedPointSet, TMovingImage > | Computes similarity between pixel values of a point set and intensity values of an image |
      itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage > | Computes similarity between pixel values of a point set and intensity values of an image |
     itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel > | Represents the base class of maximum aprior (MAP) cost function used ShapePriorSegmentationLevelSetImageFilter to estimate the shape paramaeters |
      itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel > | Represents the maximum aprior (MAP) cost function used ShapePriorSegmentationLevelSetImageFilter to estimate the shape paramaeters |
     itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample > | Calculates the goodness-of-fit statstics for multivarate mixture model |
     otb::StandardDSCostFunction< TDSValidationFilter > | Standard Cost Function used to estimate the fuzzy model parameters in the Dempster-Shafer framework |
     otb::SVMCrossValidationCostFunction< TModel > | This function returns the cross validation accuracy of a SVM model |
   itk::CreateObjectFunctionBase | Define API for object creation callback functions |
    itk::CreateObjectFunction< T > | CreateObjectFunction is used to create callback functions that create ITK Objects for use with the itk::ObjectFactory |
   itk::DataObject | Base class for all data objects in ITK |
    itk::CorrespondenceDataStructure< InputNodeType, 2 > | |
    itk::CorrespondenceDataStructure< NodeType, 2 > | |
    itk::CorrespondenceDataStructure< OutputNodeType, 3 > | |
    otb::GISConnectionImplementation< pqxx::transactor< pqxx::nontransaction > > | |
     otb::PostGISConnectionImplementation | This class represents a connection to a PostGIS data base |
    itk::ImageBase< ::itk::GetImageDimension< TImage >::ImageDimension > | |
     itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::AbsImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_abs() of its pixels |
     itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::AcosImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_acos() of its pixels |
     itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > > | |
      itk::AddImageAdaptor< TImage > | Presents an image as being the addition of a constant value to all pixels |
     itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::AsinImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_asin() of its pixels |
     itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::AtanImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_atan() of its pixels |
     itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::ComplexToImaginaryImageAdaptor< TImage, TOutputPixelType > | Presents a complex image as being composed of imag() part of its pixels |
     itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::ComplexToModulusImageAdaptor< TImage, TOutputPixelType > | Presents a complex image as being composed of vcl_abs() part of its pixels |
     itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::ComplexToPhaseImageAdaptor< TImage, TOutputPixelType > | Presents a complex image as being composed of arg() part of its pixels |
     itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::ComplexToRealImageAdaptor< TImage, TOutputPixelType > | Presents a complex image as being composed of real() part of its pixels |
     itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::CosImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_cos() of its pixels |
     itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::ExpNegativeImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_exp() of its pixels |
     itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::ExpImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_exp() of its pixels |
     itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::Log10ImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_log10() of its pixels |
     itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::LogImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_log() of its pixels |
     itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::RGBToLuminanceImageAdaptor< TImage, TOutputPixelType > | Presents a color image as being composed of the Luminance of its pixels |
     itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > > | |
      itk::RGBToVectorImageAdaptor< TImage > | Presents an image of pixel type RGBPixel as being and image of Vectors |
     itk::ImageAdaptor< TImage, Accessor::ShiftScalePixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      otb::ShiftScaleImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the shift scale operation of its pixels |
     itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::SinImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_sin() of its pixels |
     itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::SqrtImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_sqrt() of its pixels |
     itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > > | |
      itk::TanImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the vcl_tan() of its pixels |
     itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > > | |
      itk::VectorToRGBImageAdaptor< TImage > | Presents an image of pixel type Vector as being and image of RGBPixel type |
     itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > > | |
      otb::VectorImageToASImageAdaptor< TImage > | Presents an image of pixel type Vector as being and image of FixelArray<unsigned short, 3> type |
     itk::ImageAdaptor< TImage, TAccessor > | Give access to partial aspects of voxels from an Image |
      itk::NthElementImageAdaptor< TImage, TOutputPixelType > | Presents an image as being composed of the N-th element of its pixels |
    itk::ImageBase< ::itk::GetImageDimension< TLabelObject >::ImageDimension > | |
     itk::LabelMap< TLabelObject > | Templated n-dimensional image to store labeled objects |
      otb::LabelMapWithAdjacency< TLabelObject > | This class is a LabelMap with additionnal adjacency information |
    itk::ImageBase< ::itk::GetImageDimension< VectorImage< TPixelType, Dimension > >::ImageDimension > | |
     itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > > | |
      itk::VectorImageToImageAdaptor< TPixelType, Dimension > | Presents a VectorImage and extracts a component from it into an image |
    itk::AutoPointerDataObjectDecorator< T > | Decorates any pointer to a simple object with a DataObject API using AutoPointer semantics |
    itk::CorrespondenceDataStructure< TItemType, VCliqueSize > | A data structure designed to contain medial node clique correspondence data between two images |
    itk::DataObjectDecorator< T > | Decorates any subclass of itkObject with a DataObject API |
    itk::EquivalencyTable | Hash table to manage integral label equivalencies |
    itk::ImageBase< VImageDimension > | Base class for templated image classes |
     itk::Image< BloxBoundaryPointPixel< TImageDimension >, TImageDimension > | |
      itk::BloxImage< BloxBoundaryPointPixel< TImageDimension >, TImageDimension > | |
       itk::BloxBoundaryPointImage< TImageDimension > | Templated n-dimensional image class used to store linked lists |
     itk::Image< BloxBoundaryProfilePixel< TImageDimension >, TImageDimension > | |
      itk::BloxImage< BloxBoundaryProfilePixel< TImageDimension >, TImageDimension > | |
       itk::BloxBoundaryProfileImage< TImageDimension > | N-dimensional image class which handles BloxBoundaryProfileItems |
     itk::Image< BloxCoreAtomPixel< NDimension >, TImageDimension > | |
      itk::BloxImage< BloxCoreAtomPixel< NDimension >, NDimension > | |
       itk::BloxCoreAtomImage< NDimension > | N-dimensional image class which handles BloxCoreAtomItems |
     itk::Image< TBloxPixelType, TImageDimension > | |
      itk::BloxImage< TBloxPixelType, TImageDimension > | Templated n-dimensional image class used to store linked lists |
     itk::Image< TInputPixel, VImageDimension > | |
      otb::Image< TInputPixel, 2 > | |
     itk::Image< TNode *, VImageDimension > | |
      itk::SparseImage< TNode, VImageDimension > | This class implements a storage type for sparse image data |
     itk::Image< TOutputPixel, VImageDimension > | |
      otb::Image< TOutputPixel, 2 > | |
     itk::Image< TOutputPixelType, VImageDimension > | |
      otb::Image< TOutputPixelType, 2 > | |
     itk::Image< TPixel, VImageDimension > | Templated n-dimensional image class |
      itk::OrientedImage< TPixel, VImageDimension > | Templated n-dimensional oriented image class |
      otb::Image< TPixel, VImageDimension > | Creation of an "otb" image which contains metadata |
     itk::SpecialCoordinatesImage< TPixel, VImageDimension > | Templated n-dimensional nonrectilinear-coordinate image base class |
     itk::VectorImage< TPixel, VImageDimension > | Templated n-dimensional vector image class |
      otb::VectorImage< TPixel, VImageDimension > | Creation of an "otb" vector image which contains metadata |
     itk::SpecialCoordinatesImage< TPixel, 3 > | |
      itk::PhasedArray3DSpecialCoordinatesImage< TPixel > | Templated 3D nonrectilinear-coordinate image class for phased-array "range" images |
     itk::VectorImage< TInputPixelType, VImageDimension > | |
      otb::VectorImage< TInputPixelType, 2 > | |
     itk::VectorImage< TNeuron::ComponentType, VImageDimension > | |
      otb::VectorImage< TNeuron::ComponentType, VMapDimension > | |
       otb::SOMMap< TNeuron, TDistance, VMapDimension > | This class represent a Self Organizing Map |
     itk::VectorImage< TOutputPixelType, VImageDimension > | |
      otb::VectorImage< TOutputPixelType, 2 > | |
     itk::VectorImage< TPixelType, Dimension > | |
    itk::MatrixResizeableDataObject< TItemType > | Allows for a vnl matrix to be a data object with the flexibility of being resizable |
    itk::OneWayEquivalencyTable | Hash table to manage integral label equivalencies that are order dependent |
    itk::Path< TInput, TOutput, VDimension > | Represent a path through ND Space |
    itk::PointSet< TPixelType, VDimension, TMeshTraits > | A superclass of the N-dimensional mesh structure; supports point (geometric coordinate and attribute) definition |
     itk::Mesh< TPixelType, VDimension, TMeshTraits > | Implements the N-dimensional mesh structure |
      itk::SimplexMesh< TPixelType, VDimension, TMeshTraits > | The class represents a 2-simplex mesh |
    itk::SimpleDataObjectDecorator< T > | Decorates any "simple" data type (data types without smart pointers) with a DataObject API |
    itk::SpatialObject< TDimension > | Implementation of the composite pattern |
     itk::ImageSpatialObject< TDimension, unsigned char > | |
      itk::ImageMaskSpatialObject< TDimension > | Implementation of an image mask as spatial object |
     itk::ArrowSpatialObject< TDimension > | Representation of a Arrow based on the spatial object classes |
     itk::BoxSpatialObject< TDimension > | The class may be used to represent N-dimensional boxes. In two dimensions it is a rectangle, In three dimensions it is a cuboid.. |
     itk::EllipseSpatialObject< TDimension > | TODO |
     itk::GaussianSpatialObject< TDimension > | Represents a multivariate Gaussian function |
     itk::GroupSpatialObject< TDimension > | Representation of a group based on the spatial object classes |
      itk::PolygonGroupSpatialObject< TDimension > | Implements a Region Of Interest Type |
     itk::ImageSpatialObject< TDimension, TPixelType > | Implementation of an image as spatial object |
     itk::PlaneSpatialObject< TDimension > | |
     itk::PointBasedSpatialObject< TDimension > | This class serves as the base class for point-based spatial objects |
      itk::BlobSpatialObject< TDimension > | Spatial object representing a potentially amorphous object |
       itk::PolygonSpatialObject< TDimension > | TODO |
      itk::ContourSpatialObject< TDimension > | Representation of a Contour based on the spatial object classes |
      itk::LandmarkSpatialObject< TDimension > | Representation of a Landmark based on the spatial object classes |
      itk::LineSpatialObject< TDimension > | Representation of a Line based on the spatial object classes |
      itk::SurfaceSpatialObject< TDimension > | Representation of a Surface based on the spatial object classes |
      itk::TubeSpatialObject< TDimension, TTubePointType > | Representation of a tube based on the spatial object classes |
      itk::LineSpatialObject< 2 > | |
      itk::TubeSpatialObject< TDimension, DTITubeSpatialObjectPoint< TDimension > > | |
       itk::DTITubeSpatialObject< TDimension > | Representation of a tube based on the spatial object classes |
      itk::TubeSpatialObject< TDimension, VesselTubeSpatialObjectPoint< TDimension > > | |
       itk::VesselTubeSpatialObject< TDimension > | Representation of a tube based on the spatial object classes |
     itk::PointBasedSpatialObject< VDimension > | |
      otb::LineSpatialObject< VDimension > | Representation of a Line based on the spatial object classes |
    itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector > | |
     itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer > | |
     itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > > | |
      itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector > | |
      itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector > | |
      itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector > | |
    itk::UnaryCorrespondenceMatrix< TItemType > | A matrix used to store the Unary Metric for medial node comparisons between two images |
    itk::watershed::Boundary< TScalarType, TDimension > | |
    itk::watershed::SegmentTable< TScalarType > | |
    itk::watershed::SegmentTree< TScalarType > | |
    otb::ObjectList< TImage > | |
     otb::ImageList< TImage > | This class represent a list of images |
    otb::AeronetData | This class is a data structure designed to store Aeronet data extracted from a aeronet file |
    otb::AtmosphericCorrectionParameters | This class contains all atmospheric correction parameters |
    otb::AtmosphericEffects< TSpectralResponse, TRSR > | This class applies atmospheric effects, computed from otbAtmosphericCorrectionParametersTo6SRadiativeTerms to an input spectrum (otbSpectralResponse) using the otbSurfaceReflectanceToReflectanceFilter |
    otb::AtmosphericRadiativeTerms | This class is a vector of AtmosphericRadiativeTermsSingleChannel, it contains all atmospheric radiative terms for each studied channel |
    otb::AtmosphericRadiativeTermsSingleChannel | This class contains all atmospheric radiative terms for one channel |
    otb::DecisionTree< AttributeValueType, LabelType > | Models a decision tree |
    otb::FilterFunctionValues | This class contains the values of the filter function for the processed spectral band |
    otb::FuzzyVariable< TLabel, TPrecision > | Class to represent a fuzzy N-valued variable |
    otb::GeometriesSet | Common ITK type to manipulate any set of geometries: a otb::ogr::DataSource, or a otb::ogr::Layer |
    otb::GISConnectionImplementation< TransactorType > | Base class for GIS DB connection implementations |
    otb::GISTable< TConnectionImplementation, TPrecision, TSpatialDimension > | This class represents a table of a geospatial database (ie. PostGIS) |
     otb::PostGISTable< TConnectionImplementation, TPrecision, TSpatialDimension > | This class represents a table of a geospatial database (PostGIS) |
    otb::ImageWidgetFormBase | DEPRECATED |
     otb::ImageWidgetBoxForm | DEPRECATED: Widget to draw boxes on the viewer |
     otb::ImageWidgetCircleForm | DEPRECATED |
     otb::ImageWidgetPointForm | DEPRECATED |
     otb::ImageWidgetPolygonForm< TValue > | DEPRECATED: Widget to draw polygons on the viewer |
     otb::ImageWidgetPolylineForm< TValue > | DEPRECATED |
     otb::ImageWidgetRectangleForm | DEPRECATED |
    otb::Landmark< TPoint, TPointData, TLandmarkData > | This class represent point and point data binary matching |
    otb::LeafParameters | Data class containing Leaf Parameters |
    otb::LineSpatialObjectList | TODO |
    otb::MassOfBelief< TLabel, TMass > | This class represent a mass of belief function |
    otb::ObjectList< TObject > | This class is a generic all-purpose wrapping around an std::vector<itk::SmartPointer<ObjectType> > |
    otb::ogr::DataSource | Collection of geometric objects |
    otb::PolarimetricData | This class allows to determine the type of architecture we get |
    otb::ProSailParameters | This class implements the ProSailParameters lib |
    otb::RCC8Edge | Base class to represent an edge in a RCC8 Graph |
    otb::RCC8Graph< TVertex > | This class is a data structure designed to store RCC8 Graph computed from a pyramidal segmentation |
    otb::RCC8VertexBase< TPath > | Base class to represent a vertex in a RCC8 Graph |
     otb::RCC8VertexWithCompacity< TPath, TPrecision > | Class to represent a vertex in a RCC8 Graph with the compacity value of the represented region |
    otb::ReduceSpectralResponse< TSpectralResponse, TRSR > | This class computes the reduced spectral response of each band of a sensor |
    otb::ReduceSpectralResponseClassifierRAndNIR< TReduceSpectralResponse, TFunction > | This class represents a hierarchy of vector data |
    otb::SatelliteRSR< TPrecision, TValuePrecision > | This class represents a hierarchy of vector data |
    otb::SpectralResponse< TPrecision, TValuePrecision > | This class represents the spectral response of an object (or a satellite band) |
    otb::SVMModel< TValue, TLabel > | Class for SVM models |
    otb::VectorData< TPrecision, VDimension, TValuePrecision > | This class represents a hierarchy of vector data |
    otb::VectorDataProperties< TVectorData > | Compute public properties of the vectordata |
    otb::WavelengthSpectralBands | This class contains the values of the filter functions |
    itk::Path< double, ContinuousIndex< double, VDimension >, VDimension > | |
     itk::ParametricPath< VDimension > | Represent a parametric path through ND Space |
      itk::FourierSeriesPath< VDimension > | Represent a closed path through ND Space by its frequency components |
      itk::PolyLineParametricPath< VDimension > | Represent a path of line segments through ND Space |
       otb::PolyLineParametricPathWithValue< TValue, VDimension > | This class implement a PolyLineParametricPath for which a value can be set. The value is stored in the itk::MetaDataDictionary. The precision of the value can be set |
       otb::PolyLineParametricPathWithValue< TValue, 2 > | |
        otb::Polygon< TValue > | This class represent a 2D polygon |
     itk::ParametricPath< 2 > | |
      itk::OrthogonallyCorrected2DParametricPath | Represent an orthogonally corrected 2D parametric path |
    itk::Path< unsigned int, Offset< VDimension >, VDimension > | |
     itk::ChainCodePath< 2 > | |
      itk::ChainCodePath2D | Represent a 2D path as a sequence of connected image index offsets |
     itk::ChainCodePath< VDimension > | Represent a path as a sequence of connected image index offsets |
    itk::PointSet< TCoordType, VDimension, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > > | |
     itk::Mesh< TCoordType, 2, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > > | |
      itk::VoronoiDiagram2D< TCoordType > | Implements the 2-Dimensional Voronoi Diagram |
    itk::PointSet< TPixel, VDimension, TTraits > | |
     itk::Mesh< TPixel, VDimension, TTraits > | |
      itk::QuadEdgeMesh< TPixel, VDimension, TTraits > | Mesh class for 2D manifolds embedded in ND space |
    otb::RCC8VertexBase< TLabel > | |
     otb::RCC8VertexWithRegionCenter< TLabel, TPrecision > | Class to represent a vertex in a RCC8 Graph with the compacity value of the represented region |
    itk::SpatialObject< 3 > | |
     itk::CylinderSpatialObject | This class describe a cylinder in 3D only |
    itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension > | |
     itk::MeshSpatialObject< TMesh > | Implementation of an Mesh as spatial object |
   itk::DecisionRuleBase | Base class that allows the setting of usage of differnt decision rules used in classification This class has the pure virtual function, Evaluate(). Therefore, any subclass should implement the function to be instantiated |
    itk::MaximumDecisionRule | A Decision rule that choose the class of which discriminant score is the largest |
    itk::MaximumRatioDecisionRule | This rule returns if for all , where the is the index of a class which has membership function and its prior value (usually, the a priori probability or the size of a class) is  |
    itk::MinimumDecisionRule | A Decision rule that choose the class that has minimum value |
   itk::DICOMSeriesFileNames | Generate an ordered sequence of filenames |
   itk::Directory | Portable directory/filename traversal |
   itk::DynamicLoader | Portable loading of dynamic libraries or dll's |
   itk::FastMutexLock | Critical section locking class |
   itk::FunctionBase< TInput, TOutput > | Base class for all ITK function objects |
    itk::HeavisideStepFunctionBase< TInput, TOutput > | Base class of the Heaviside function |
     itk::HeavisideStepFunction< TInput, TOutput > | Implementation of the classical Heaviside step function |
     itk::RegularizedHeavisideStepFunction< TInput, TOutput > | Base class of the Regularized (smoothed) Heaviside functions |
      itk::AtanRegularizedHeavisideStepFunction< TInput, TOutput > | Atan-based implementation of the Regularized (smoothed) Heaviside functions |
      itk::SinRegularizedHeavisideStepFunction< TInput, TOutput > | Sin-based implementation of the Regularized (smoothed) Heaviside functions |
    itk::SpatialFunction< TOutput, VImageDimension, TInput > | N-dimensional spatial function class |
     itk::GaussianDerivativeSpatialFunction< TOutput, VImageDimension, TInput > | N-dimensional gaussian spatial function class |
     itk::GaussianSpatialFunction< TOutput, VImageDimension, TInput > | N-dimensional gaussian spatial function class |
   itk::Functor::ColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::AutumnColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::BlueColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::CoolColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::CopperColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::CustomColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::GreenColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::GreyColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::HotColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::HSVColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::JetColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::OverUnderColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::RedColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::SpringColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::SummerColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    itk::Functor::WinterColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value |
    otb::Functor::ReliefColormapFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into an RGB colormap value for relief representation |
    otb::Functor::ScalarToRainbowRGBPixelFunctor< TScalar, TRGBPixel > | Function object which maps a scalar value into a rainbow RGB pixel value |
   itk::GDCMSeriesFileNames | Generate a sequence of filenames from a DICOM series |
   itk::HistogramAlgorithmBase< TInputHistogram > | Base class for algorithms operating on histograms |
    itk::OtsuMultipleThresholdsCalculator< TInputHistogram > | Computes Otsu's thresholds for a histogram |
    otb::HistogramStatisticsFunction< TInputHistogram, TOutput > | Computes parameters for a histogram |
   itk::ImageContainerInterface< TElementIdentifier, TElement > | |
   itk::ImageDuplicator< TInputImage > | This helper class create an image which is perfect copy of the input image |
   itk::ImageIOFactory | Create instances of ImageIO objects using an object factory |
   itk::ImageMomentsCalculator< TImage > | Compute moments of an n-dimensional image |
   itk::ImagePCADecompositionCalculator< TInputImage, TBasisImage > | Decomposes an image into directions along basis components |
   itk::ImageRegionSplitter< VImageDimension > | Divide a region into several pieces |
    itk::ImageRegionMultidimensionalSplitter< VImageDimension > | Divide a region into several pieces |
    otb::ImageRegionAdaptativeSplitter< VImageDimension > | |
    otb::ImageRegionNonUniformMultidimensionalSplitter< VImageDimension > | Divide a region into several pieces |
    otb::ImageRegionSquareTileSplitter< VImageDimension > | Divide a region into several pieces |
    otb::ImageRegionTileMapSplitter< VImageDimension > | Divide a region into several pieces |
   itk::ImportImageContainer< TElementIdentifier, TElement > | |
   itk::IndexedContainerInterface< TElementIdentifier, TElement > | |
   itk::KappaSigmaThresholdImageCalculator< TInputImage, TMaskImage > | Compute moments of an n-dimensional image |
   itk::LabelPerimeterEstimationCalculator< TInputImage > | Estimates the perimeter of a label object |
   itk::LandmarkBasedTransformInitializer< TTransform, TFixedImage, TMovingImage > | LandmarkBasedTransformInitializer is a helper class intended to The class computes the transform that aligns the fixed and moving images given a set of landmarks. The class is templated over the Transform type. The transform computed gives the best fit transform that maps the fixed and moving images in a least squares sense. The indices are taken to correspond, so point 1 in the first set will get mapped close to point 1 in the second set, etc. An equal number of fixed and moving landmarks need to be specified using SetFixedLandmarks() SetMovingLandmarks(). Any number of landmarks may be specified. Call InitializeTransform() to initialize the transform |
   itk::LightProcessObject | LightProcessObject is the base class for all process objects (source, filters, mappers) in the Insight data processing pipeline |
    itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > > | |
     itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > > | |
      otb::SEMClassifier< TInputImage, TOutputImage > | This class implements the Stochastic Expectation Maximization algorithm to perform an estimation of a mixture model |
    itk::ClassifierBase< TInputImage > | |
     itk::ImageClassifierBase< TInputImage, TClassifiedImage > | Base class for ImageClassifierBase object |
    itk::ClassifierBase< TSample > | |
     itk::Statistics::SampleClassifier< TSample > | Integration point for MembershipCalculator, DecisionRule, and target sample data |
      itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample > | Integration point for MembershipCalculator, DecisionRule, and target sample data. This class is functionally identical to the SampleClassifier, except that users can perform only part of the input sample that belongs to the subset of classes |
      otb::SVMClassifier< TSample, TLabel > | SVM-based classifier |
      otb::SVMMarginSampler< TSample, TModel > | Implement one iteration of active learning by margin |
    itk::ClassifierBase< TDataContainer > | Base class for classifier object |
    itk::ImageIOBase | Abstract superclass defines image IO interface |
     itk::AnalyzeImageIO | Class that defines how to read Analyze file format. Analyze IMAGE FILE FORMAT - As much information as I can determine from the Medical image formats web site, and the Analyze75.pdf file provided from the Mayo clinic. A special note of thanks to Dennis P. Hanson (dph@m.nosp@m.ayo..nosp@m.edu) for his generous contributions in getting this information correct |
     itk::BioRadImageIO | ImageIO class for reading Bio-Rad images. Bio-Rad file format are used by confocal micropscopes like MRC 1024, MRC 600 http://www.bio-rad.com/ |
     itk::BMPImageIO | Read BMPImage file format |
     itk::Brains2MaskImageIO | Class that defines how to read Brains2Mask file format |
     itk::Bruker2DSEQImageIO | Class that defines how to read Bruker file format. Bruker IMAGE FILE FORMAT - The following is a brief description of the Bruker file format taken from: |
     itk::DICOMImageIO2 | Read DICOMImage file format |
     itk::GDCMImageIO | ImageIO class for reading and writing DICOM V3.0 and ACR/NEMA 1&2 uncompressed images This class is only an adaptor to the gdcm library (currently gdcm 1.2.x is used by default): |
      itk::DicomImageIO | Read DicomImage file format |
     itk::GiplImageIO | Read GiplImage file format |
     itk::IPLCommonImageIO | Class that defines how to read GE4 file format |
      itk::GE4ImageIO | Class that defines how to read GE4 file format |
      itk::GE5ImageIO | Class that defines how to read GE5 file format |
      itk::GEAdwImageIO | Class that defines how to read GEAdw file format |
      itk::SiemensVisionImageIO | Class that defines how to read SiemensVision file format |
     itk::JPEGImageIO | ImageIO object for reading and writing JPEG images |
     itk::MetaImageIO | Read MetaImage file format |
     itk::MINC2ImageIO | Class that defines how to read MINC2 file format. Note,like ITK, MINC2 is N dimensional and dimensions can be submitted in any arbitrary order. Here we make sure the dimensions are ordered as xspace, yspace, zspace, time and vector_dimension and so on or xfrequencey, yfrequency, zfrequency, tfrequency and vector_dimension and so on NOTE** This class only reads the regularly sampled dimensions as I am not sure how to deal with "iregularly sampled" dimensions yet! |
     itk::NiftiImageIO | Class that defines how to read Nifti file format. Nifti IMAGE FILE FORMAT - As much information as I can determine from sourceforge.net/projects/Niftilib |
     itk::NrrdImageIO | Read and write the "Nearly Raw Raster Data" (Nrrd) image format. The Nrrd format was developed as part of the Teem package (teem.sourceforge.net) |
     itk::PhilipsRECImageIO | Class that defines how to read Philips REC/PAR image files. This class supports reading only and not writing |
     itk::PNGImageIO | ImageIO object for reading and writing PNG images |
     itk::RawImageIO< TPixel, VImageDimension > | Read and write raw binary images |
     itk::StimulateImageIO | ImageIO class for reading SDT/SPR (Stimulate) images This format is similar to a MetaImageIO file: The user should specify the .spr file (not the data file : .sdt) |
     itk::StreamingImageIOBase | A base class for specific ImageIO file formats which support streaming |
      itk::MRCImageIO | An ImageIO class to read the MRC file format. The MRC file format frequently has the extension ".mrc" or ".rec". It is used frequently for electron microscopy and is an emerging standard for cryo-electron tomography and molecular imaging. The format is used to represent 2D, 3D images along with 2D tilt series for tomography |
      itk::VTKImageIO2 | ImageIO class for reading VTK images |
     itk::TIFFImageIO | ImageIO object for reading and writing TIFF images |
      itk::LSMImageIO | ImageIO class for reading LSM (Zeiss) images LSM is a line of confocal laser scanning microscopes produced by the Zeiss company LSM files are essentially extensions of the TIFF multiple image stack file format |
     itk::VoxBoCUBImageIO | Read VoxBoCUBImage file format |
     itk::VTKImageIO | ImageIO class for reading VTK images |
    itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction > | Base class for model estimation from images used for classification |
     itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage > | Base class for ImageGaussianModelEstimator object |
     itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction > | Base class for ImageKmeansModelEstimator object |
    itk::LevelSetNeighborhoodExtractor< TLevelSet > | Locate pixels of a particular level set |
     itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension > | Locate pixels of a particular level set |
    itk::MetaArrayReader | |
    itk::MetaArrayWriter | |
    itk::PhilipsPAR | Class for reading parameters from a Philips PAR file |
    itk::Statistics::LayerBase< TMeasurementVector, TTargetVector > | |
     itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector > | |
     itk::Statistics::RBFLayer< TMeasurementVector, TTargetVector > | |
    itk::Statistics::LearningFunctionBase< LayerType, TTargetVector > | |
     itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector > | |
     itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector > | |
    itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
     itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
     itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
    itk::Statistics::WeightSetBase< TMeasurementVector, TTargetVector > | |
     itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector > | |
    itk::TransformFileReader | TODO |
    itk::TransformFileReader | TODO |
    itk::TransformFileWriter | TODO |
    itk::TransformFileWriter | TODO |
    itk::TransformIOBase | Abstract superclass defining the Transform IO interface |
     itk::MatlabTransformIO | |
     itk::TxtTransformIO | |
    itk::XMLReaderBase | |
     itk::XMLReader< T > | |
     itk::XMLReader< PGroupSpatialObjectType > | |
      itk::PolygonGroupSpatialObjectXMLFileReader | |
    itk::XMLWriterBase< T > | |
    itk::Statistics::LearningFunctionBase< LayerType::LayerInterfaceType, TTargetVector > | |
     itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector > | |
     itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector > | |
    otb::ImageIOBase | Abstract superclass defines image IO interface |
     otb::BSQImageIO | ImageIO object for reading (not writing) BSQ format images |
     otb::GDALImageIO | ImageIO object for reading (not writing) GDAL images |
     otb::JPEG2000ImageIO | ImageIO object for reading and writing JPEG2000 format images |
     otb::LUMImageIO | ImageIO object for reading (not writing) LUM format images |
     otb::MSTARImageIO | ImageIO object for reading and writing MSTAR images |
     otb::MWImageIO | ImageIO object for reading (not writing) MW format images |
     otb::ONERAImageIO | ImageIO object for reading (not writing) ONERA format images |
     otb::RADImageIO | ImageIO object for reading (not writing) RAD format images |
     otb::TileMapImageIO | ImageIO object for reading and writing TileMap images |
    otb::VectorDataIOBase | Abstract superclass defines VectorData IO interface |
     otb::KMLVectorDataIO | ImageIO object for reading/writing KML format vector data |
     otb::OGRVectorDataIO | ImageIO object for reading and writing OGR format vector data |
    itk::XMLWriterBase< PGroupSpatialObjectType > | |
     itk::PolygonGroupSpatialObjectXMLFileWriter | |
   itk::LoggerBase | Class LoggerBase is meant for logging information during a run |
    itk::Logger | Class Logger is meant for logging information during a run |
     itk::ThreadLogger | Class ThreadLogger is meant for providing logging service as a separate thread |
   itk::LoggerManager | Class LoggerManager is meant for centrally managing loggers |
   itk::LogOutput | Class LogOutput represents an output stream |
    itk::MultipleLogOutput | Class MultipleLogOutput allows writing simultaneously to multiple streams. Note that the class derives from std::streambuf and contains a std::set<> of LogOutput |
    itk::StdStreamLogOutput | Class StdStreamLogOutput represents a standard stream output stream. This class provides thread safety for the standard stream output stream |
    otb::QtLogOutput | Class that get log output and launch an event when received |
   itk::MapContainer< TElementIdentifier, TElement > | |
   itk::MinimumMaximumImageCalculator< TInputImage > | |
   itk::MRASlabIdentifier< TInputImage > | Identifies slab in MR images comparing minimum intensity averages |
   itk::MultiThreader | A class for performing multithreaded execution |
   itk::MutexLock | Mutual exclusion locking class |
   itk::NeuralNetworkFileReader< TNetwork > | Reader for Neural Network |
   itk::NeuralNetworkFileWriter< TNetwork > | Writer for Neural Network |
   itk::NonUniformBSpline< TDimension > | BSpline with nonuniform knot spacing |
   itk::NumericSeriesFileNames | Generate an ordered sequence of filenames |
   itk::ObjectFactoryBase | Create instances of classes using an object factory |
    itk::AnalyzeImageIOFactory | Create instances of AnalyzeImageIO objects using an object factory |
    itk::BioRadImageIOFactory | Create instances of BioRadImageIO objects using an object factory |
    itk::BMPImageIOFactory | Create instances of BMPImageIO objects using an object factory |
    itk::Brains2MaskImageIOFactory | Create instances of Brains2MaskImageIO objects using an object factory |
    itk::Bruker2DSEQImageIOFactory | Create instances of Bruker2DSEQImageIO objects using an object factory |
    itk::DICOMImageIO2Factory | Create instances of DICOMImageIO2 objects using an object factory |
    itk::DicomImageIOFactory | Create instances of DicomImageIO objects using an object factory |
    itk::GDCMImageIOFactory | Create instances of GDCMImageIO objects using an object factory |
    itk::GE4ImageIOFactory | Create instances of GE4ImageIO objects using an object factory |
    itk::GE5ImageIOFactory | Create instances of GE5ImageIO objects using an object factory |
    itk::GEAdwImageIOFactory | Create instances of GEAdwImageIO objects using an object factory |
    itk::GiplImageIOFactory | Create instances of GiplImageIO objects using an object factory |
    itk::JPEGImageIOFactory | Create instances of JPEGImageIO objects using an object factory |
    itk::LSMImageIOFactory | Create instances of LSMImageIO objects using an object factory |
    itk::MatlabTransformIOFactory | Create instances of MatlabTransformIO objects using an object factory |
    itk::MetaImageIOFactory | Create instances of MetaImageIO objects using an object factory |
    itk::MINC2ImageIOFactory | Create instances of MINC2ImageIO objects using an object factory |
    itk::MRCImageIOFactory | Create instances of MRCImageIO objects using an object factory |
    itk::NiftiImageIOFactory | Create instances of NiftiImageIO objects using an object factory |
    itk::NrrdImageIOFactory | Create instances of NrrdImageIO objects using an object factory |
    itk::ObjectFactory< T > | Create instances of a class |
    itk::PhilipsRECImageIOFactory | Create instances of PhilipsRECImageIO objects using an object factory |
    itk::PNGImageIOFactory | Create instances of PNGImageIO objects using an object factory |
    itk::RawImageIOFactory< TPixel, VImageDimension > | |
    itk::SiemensVisionImageIOFactory | Create instances of SiemensVisionImageIO objects using an object factory |
    itk::SpatialObjectFactoryBase | Create instances of SpatialObjects |
     itk::SpatialObjectFactory< T > | Create instances of SpatialObjects |
    itk::StimulateImageIOFactory | Create instances of StimulateImageIO objects using an object factory |
    itk::TIFFImageIOFactory | Create instances of TIFFImageIO objects using an object factory |
    itk::TransformFactoryBase | Create instances of Transforms |
     itk::TransformFactory< T > | Create instances of Transforms |
    itk::TxtTransformIOFactory | Create instances of TxtTransformIO objects using an object factory |
    itk::VoxBoCUBImageIOFactory | Create instances of VoxBoCUBImageIO objects using an object factory |
    itk::VTKImageIO2Factory | Create instances of VTKImageIO2 objects using an object factory |
    itk::VTKImageIOFactory | Create instances of VTKImageIO objects using an object factory |
    otb::BoostMachineLearningModelFactory< TInputValue, TTargetValue > | Creation d'un instance d'un objet SVMMachineLearningModel utilisant les object factory |
    otb::BSQImageIOFactory | Creation d'un instance d'un objet BSQImageIO utilisant les object factory |
    otb::DecisionTreeMachineLearningModelFactory< TInputValue, TTargetValue > | Creation d'un instance d'un objet SVMMachineLearningModel utilisant les object factory |
    otb::DefaultImageMetadataInterfaceFactory | Creating an instance of a ImageMetadataInterface object using object factory. This class only provides the method of the virtual pure class ImageMetadataInterfaceBase and throw exception for virtual method |
    otb::FormosatImageMetadataInterfaceFactory | Creating an instance of a ImageMetadataInterface object using object factory |
    otb::GDALImageIOFactory | Creation d'un instance d'un objet GDALImageIO utilisant les object factory |
    otb::GradientBoostedTreeMachineLearningModelFactory< TInputValue, TTargetValue > | Creation d'un instance d'un objet SVMMachineLearningModel utilisant les object factory |
    otb::IkonosImageMetadataInterfaceFactory | Creating an instance of a ImageMetadataInterface object using object factory |
    otb::JPEG2000ImageIOFactory | Create instances of JPEG2000ImageIO objects using an object factory |
    otb::KMLVectorDataIOFactory | Creating an instance of a VectorDataImageIO object using object factory |
    otb::KNearestNeighborsMachineLearningModelFactory< TInputValue, TTargetValue > | Creation d'un instance d'un objet KNearestNeighborsMachineLearningModel utilisant les object factory |
    otb::LibSVMMachineLearningModelFactory< TInputValue, TTargetValue > | Creation d'un instance d'un objet SVMMachineLearningModel utilisant les object factory |
    otb::LUMImageIOFactory | Creation d'un instance d'un objet LUMImageIO utilisant les object factory |
    otb::MSTARImageIOFactory | Creation d'un instance d'un objet MSTARImageIO utilisant les object factory |
    otb::MWImageIOFactory | Creation d'un instance d'un objet LUMImageIO utilisant les object factory |
    otb::NeuralNetworkMachineLearningModelFactory< TInputValue, TTargetValue > | Creation d'un instance d'un objet SVMMachineLearningModel utilisant les object factory |
    otb::NormalBayesMachineLearningModelFactory< TInputValue, TTargetValue > | Creation d'un instance d'un objet SVMMachineLearningModel utilisant les object factory |
    otb::OGRVectorDataIOFactory | Create an instance of an OGRVectorDataIOFactory |
    otb::ONERAImageIOFactory | Creation d'un instance d'un objet ONERAImageIO utilisant les object factory |
    otb::OpticalDefaultImageMetadataInterfaceFactory | Creating an instance of a OpticalImageMetadataInterface object using object factory. This class only provides the method of the virtual pure class OpticalImageMetadataInterface and throw exception for virtual method |
    otb::PleiadesImageMetadataInterfaceFactory | Creating an instance of a ImageMetadataInterface object using object factory |
    otb::QuickBirdImageMetadataInterfaceFactory | Creating an instance of a ImageMetadataInterface object using object factory |
    otb::RADImageIOFactory | Creation d'un instance d'un objet RADImageIO utilisant les object factory |
    otb::RandomForestsMachineLearningModelFactory< TInputValue, TTargetValue > | Creation d'un instance d'un objet RandomForestsMachineLearningModel utilisant les object factory |
    otb::SarDefaultImageMetadataInterfaceFactory | Creating an instance of a SarImageMetadataInterface object using object factory. This class only provides the method of the virtual pure class SarImageMetadataInterface and throw exception for virtual method |
    otb::SpotImageMetadataInterfaceFactory | Creating an instance of a ImageMetadataInterface object using object factory |
    otb::SVMMachineLearningModelFactory< TInputValue, TTargetValue > | Creation d'un instance d'un objet SVMMachineLearningModel utilisant les object factory |
    otb::TerraSarImageMetadataInterfaceFactory | Creating an instance of a ImageMetadataInterface object using object factory |
    otb::TileMapImageIOFactory | Creation of a TileMapImageIO object using object factory |
    otb::WorldView2ImageMetadataInterfaceFactory | Creating an instance of a ImageMetadataInterface object using object factory |
    otb::Wrapper::ApplicationFactory< TApplication > | |
   itk::ObjectStore< TObjectType > | A specialized memory management object for allocating and destroying contiguous blocks of objects |
   itk::OctreeBase | Provides non-templated access to templated instances of Octree |
    itk::Octree< TPixel, ColorTableSize, MappingFunctionType > | Represent a 3D Image with an Octree data structure |
   itk::Optimizer | Generic representation for an optimization method |
    itk::NonLinearOptimizer | Wrap of the vnl_nonlinear_minimizer to be adapted |
     itk::MultipleValuedNonLinearOptimizer | This class is a base for the Optimization methods that optimize a multiple valued function |
      itk::CumulativeGaussianOptimizer | This is an optimizer specific to estimating the parameters of Cumulative Gaussian sampled data |
      itk::MultipleValuedNonLinearVnlOptimizer | This class is a base for the Optimization methods that optimize a multi-valued function |
       itk::LevenbergMarquardtOptimizer | Wrap of the vnl_levenberg_marquardt algorithm |
     itk::SingleValuedNonLinearOptimizer | This class is a base for the Optimization methods that optimize a single valued function |
      itk::ExhaustiveOptimizer | Optimizer that fully samples a grid on the parametric space |
      itk::GradientDescentOptimizer | Implement a gradient descent optimizer |
       itk::QuaternionRigidTransformGradientDescentOptimizer | Implement a gradient descent optimizer |
      itk::OnePlusOneEvolutionaryOptimizer | 1+1 evolutionary strategy optimizer |
      itk::PowellOptimizer | Implements Powell optimization using Brent line search |
       itk::FRPROptimizer | Implements Fletch-Reeves & Polak-Ribiere optimization using dBrent line search |
      itk::RegularStepGradientDescentBaseOptimizer | Implement a gradient descent optimizer |
       itk::RegularStepGradientDescentOptimizer | Implement a gradient descent optimizer |
       itk::VersorRigid3DTransformOptimizer | Implement a gradient descent optimizer for the VersorRigid3DTransform parameter space |
       itk::VersorTransformOptimizer | Implement a gradient descent optimizer |
      itk::SingleValuedNonLinearVnlOptimizer | This class is a base for the Optimization methods that optimize a single valued function |
       itk::AmoebaOptimizer | Wrap of the vnl_amoeba algorithm |
       itk::ConjugateGradientOptimizer | Wrap of the vnl_conjugate_gradient |
       itk::LBFGSBOptimizer | Limited memory Broyden Fletcher Goldfarb Shannon minimization with simple bounds |
       itk::LBFGSOptimizer | Wrap of the vnl_lbfgs algorithm |
      itk::SPSAOptimizer | An optimizer based on simultaneous perturbation.. |
      otb::ExhaustiveExponentialOptimizer | This optimizer performs an exhaustive search on an exponential scale |
   itk::OtsuThresholdImageCalculator< TInputImage > | Computes the Otsu's threshold for an image |
   itk::OutputWindow | Messages sent from the system are collected by this object |
    itk::FileOutputWindow | Messages sent from the system are sent to a file |
     itk::XMLFileOutputWindow | Messages sent from the system are sent to a file with each message enclosed by XML tags |
    itk::LoggerOutput | This class is meant for overriding itk::OutputWindow to redirect messages to itk::Logger |
    itk::TextOutput | |
    itk::Win32OutputWindow | Collect error and debug messages on Win32-based systems |
   itk::PointLocator< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer > | Accelerate geometric searches for points |
   itk::ProcessObject | ProcessObject is the base class for all process objects (source, filters, mappers) in the Insi |