itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage > Class Template Reference

Base class for ImageGaussianModelEstimator object. More...

#include <itkImageGaussianModelEstimator.h>

Inheritance diagram for itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >:

Collaboration diagram for itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef ImageRegionIterator < TInputImage >	InputImageIterator
typedef TInputImage::PixelType	InputImagePixelType
typedef TInputImage::Pointer	InputImagePointer
typedef TInputImage	InputImageType
typedef TMembershipFunction::Pointer	MembershipFunctionPointer
typedef std::vector < MembershipFunctionPointer >	MembershipFunctionPointerVector
typedef SmartPointer< Self >	Pointer
typedef ImageGaussianModelEstimator	Self
typedef ImageModelEstimatorBase < TInputImage, TMembershipFunction >	Superclass
typedef ImageRegionIterator < TTrainingImage >	TrainingImageIterator
typedef TTrainingImage::PixelType	TrainingImagePixelType
typedef TTrainingImage::Pointer	TrainingImagePointer

Public Member Functions
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
unsigned int	AddMembershipFunction (MembershipFunctionPointer function)
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual void	DebugOff () const
virtual void	DebugOn () const
virtual void	Delete ()
void	DeleteAllMembershipFunctions ()
virtual const bool &	GetAbortGenerateData ()
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
virtual InputImageType *	GetInputImage ()
const MembershipFunctionPointerVector	GetMembershipFunctions () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual unsigned long	GetMTime () const
virtual const char *	GetNameOfClass () const
unsigned int	GetNumberOfMembershipFunctions ()
virtual const unsigned int &	GetNumberOfModels ()
virtual const float &	GetProgress ()
virtual int	GetReferenceCount () const
virtual TrainingImagePointer	GetTrainingImage () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual void	Modified () const
void	Print (std::ostream &os, Indent indent=0) const
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
virtual void	SetAbortGenerateData (bool _arg)
void	SetDebug (bool debugFlag) const
virtual void	SetInputImage (InputImageType *_arg)
void	SetMembershipFunctions (MembershipFunctionPointerVector membershipFunctions)
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetNumberOfModels (unsigned int _arg)
virtual void	SetProgress (float _arg)
virtual void	SetReferenceCount (int)
virtual void	SetTrainingImage (TrainingImagePointer _arg)
virtual void	UnRegister () const
void	Update ()
virtual void	UpdateOutputData ()
void	UpdateProgress (float amount)

Static Public Member Functions
static void	BreakOnError ()
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static Pointer	New ()
static void	SetGlobalWarningDisplay (bool flag)

Protected Types
typedef int	InternalReferenceCountType

Protected Member Functions
	ImageGaussianModelEstimator ()
	~ImageGaussianModelEstimator ()
void	GenerateData ()
virtual void	PrintHeader (std::ostream &os, Indent indent) const
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const

Protected Attributes
InternalReferenceCountType	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock

Private Types
typedef vnl_matrix_fixed < double, 1, itkGetStaticConstMacro(VectorDimension)>	ColumnVectorType
typedef TInputImage::SizeType	InputImageSizeType
typedef vnl_matrix< double >	MatrixType
typedef vnl_vector< double >	VectorType

Private Member Functions
	ImageGaussianModelEstimator (const Self &)
void	EstimateGaussianModelParameters ()
virtual void	EstimateModels ()
void	operator= (const Self &)

Private Attributes
MatrixType *	m_Covariance
MatrixType	m_Means
MatrixType	m_NumberOfSamples
TrainingImagePointer	m_TrainingImage

Static Private Attributes
static const unsigned int	VectorDimension = InputImagePixelType::Dimension

Detailed Description

template<class TInputImage, class TMembershipFunction, class TTrainingImage>
class itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >

Base class for ImageGaussianModelEstimator object.

itkImageGaussianModelEstimator generated the gaussian model for given tissue types (or class types) in an input training set. training data set for segmentation. The training data set is typically provided as a set of labelled/classified data set by the user. A gaussian model is generated for each label present in the training data set. from the training data set.

The user should ensure that both the input and training images are of the same size. The input data consists of the raw data and the training data has class labels associated with each pixel. However, only a subset of the data need to be labelled. Unlabelled data could be represented by a non zero, non positive number. The training data are analysed for identifying the classes. Any non zero, non negative value is considered a valid label. It is important that the maximum value of the training label be equal to N, where N is the number of classes represented by the maximum label value in the training data set. The pixels corresponding to each training label is parsed and the mean and covariance is calculated for each class. The background is identified by the label zero and is not parsed for further computation to improve efficiency.

This object supports data handling of multiband images. The object accepts the input image in vector format only, where each pixel is a vector and each element of the vector corresponds to an entry from 1 particular band of a multiband dataset. A single band image is treated as a vector image with a single element for every vector. The classified image is treated as a single band scalar image.

This function is templated over the type of input and output images. In addition, a third parameter for the MembershipFunction needs to be specified. In this case a Membership function that store Gaussian models needs to be specified.

The function EstimateModels() calculated the various models, creates the membership function objects and populates them.

Definition at line 81 of file itkImageGaussianModelEstimator.h.

Member Typedef Documentation

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef vnl_matrix_fixed<double,1,itkGetStaticConstMacro(VectorDimension)> itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::ColumnVectorType

private

Definition at line 144 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef SmartPointer<const Self> itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::ConstPointer

Definition at line 89 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef ImageRegionIterator< TInputImage > itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::InputImageIterator

Type definitions for the iterators for the input and training images.

Definition at line 112 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef TInputImage::PixelType itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::InputImagePixelType

Type definition for the vector associated with input image pixel type.

Definition at line 105 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef TInputImage::Pointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::InputImagePointer

Type definition for the input image.

Definition at line 95 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef TInputImage::SizeType itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::InputImageSizeType

private

Definition at line 139 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction >

typedef TInputImage itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::InputImageType

inherited

Type definitions for the training image.

Definition at line 90 of file itkImageModelEstimatorBase.h.

typedef int itk::LightObject::InternalReferenceCountType

protectedinherited

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 137 of file itkLightObject.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef vnl_matrix<double> itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::MatrixType

private

Definition at line 136 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef TMembershipFunction::Pointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::MembershipFunctionPointer

Type definitions for the membership function .

Definition at line 116 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction >

typedef std::vector< MembershipFunctionPointer > itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::MembershipFunctionPointerVector

inherited

Definition at line 87 of file itkImageModelEstimatorBase.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef SmartPointer<Self> itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::Pointer

Definition at line 88 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef ImageGaussianModelEstimator itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::Self

Standard class typedefs.

Definition at line 86 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef ImageModelEstimatorBase<TInputImage,TMembershipFunction> itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::Superclass

Definition at line 87 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef ImageRegionIterator< TTrainingImage > itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::TrainingImageIterator

Definition at line 113 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef TTrainingImage::PixelType itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::TrainingImagePixelType

Type definitions for the vector holding training image pixel type.

Definition at line 109 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef TTrainingImage::Pointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::TrainingImagePointer

Type definitions for the training image.

Definition at line 101 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

typedef vnl_vector<double> itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::VectorType

private

Definition at line 137 of file itkImageGaussianModelEstimator.h.

Constructor & Destructor Documentation

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::ImageGaussianModelEstimator ( void  )

protected

Definition at line 28 of file itkImageGaussianModelEstimator.txx.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::~ImageGaussianModelEstimator ( void  )

protected

Definition at line 38 of file itkImageGaussianModelEstimator.txx.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::ImageGaussianModelEstimator ( const Self &  )

private

Member Function Documentation

virtual void itk::LightProcessObject::AbortGenerateDataOff ( )

virtualinherited

virtual void itk::LightProcessObject::AbortGenerateDataOn ( )

virtualinherited

Turn on and off the AbortGenerateData flag.

template<class TInputImage , class TMembershipFunction >

unsigned int itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::AddMembershipFunction ( MembershipFunctionPointer  function )

inherited

Stores a MembershipCalculator of a class in its internal vector

Definition at line 101 of file itkImageModelEstimatorBase.txx.

unsigned long itk::Object::AddObserver ( const EventObject &  event, Command *  cmd  )

inherited

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

Definition at line 389 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), itk::ProgressAccumulator::RegisterInternalFilter(), otb::ImageFileWriter< TInputImage >::Update(), and otb::WriterWatcherBase::WriterWatcherBase().

unsigned long itk::Object::AddObserver ( const EventObject &  event, Command *  cmd  ) const

inherited

Definition at line 401 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

void itk::LightObject::BreakOnError ( )

staticinherited

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

Definition at line 149 of file itkLightObject.cxx.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

virtual::itk::LightObject::Pointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::CreateAnother ( void  ) const

virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

void itk::Object::DebugOff ( ) const

virtualinherited

Turn debugging output off.

Definition at line 253 of file itkObject.cxx.

void itk::Object::DebugOn ( ) const

virtualinherited

Turn debugging output on.

Definition at line 242 of file itkObject.cxx.

void itk::LightObject::Delete ( )

virtualinherited

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

Delete a itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C++ delete method will not work with reference counting.

Definition at line 88 of file itkLightObject.cxx.

template<class TInputImage , class TMembershipFunction >

void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::DeleteAllMembershipFunctions ( )

inlineinherited

Method to reset the membership fucntion mean

Definition at line 122 of file itkImageModelEstimatorBase.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

void itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::EstimateGaussianModelParameters ( )

private

Definition at line 162 of file itkImageGaussianModelEstimator.txx.

References itk::ImageConstIterator< TImage >::Get().

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

void itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::EstimateModels ( )

privatevirtual

A function that generates the model based on the training input data Achieves the goal of training the classifier.

Implements itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.

Definition at line 89 of file itkImageGaussianModelEstimator.txx.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

void itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::GenerateData ( void  )

protectedvirtual

Starts the image modelling process

Generate data (start the model building process)

Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.

Definition at line 74 of file itkImageGaussianModelEstimator.txx.

virtual const bool& itk::LightProcessObject::GetAbortGenerateData ( )

virtualinherited

Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

Command * itk::Object::GetCommand ( unsigned long  tag )

inherited

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

Definition at line 414 of file itkObject.cxx.

References itk::Object::GetCommand(), and NULL.

Referenced by itk::Object::GetCommand().

bool itk::Object::GetDebug ( ) const

inherited

Get the value of the debug flag.

Definition at line 264 of file itkObject.cxx.

Referenced by otb::ogr::ImageReference< double >::GetDebug().

bool itk::Object::GetGlobalWarningDisplay ( )

staticinherited

Get the value of the global debug output control flag.

Definition at line 381 of file itkObject.cxx.

template<class TInputImage , class TMembershipFunction >

virtual InputImageType* itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetInputImage ( )

virtualinherited

Get the input image.

template<class TInputImage , class TMembershipFunction >

const MembershipFunctionPointerVector itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetMembershipFunctions ( ) const

inlineinherited

Method to get mean

Definition at line 110 of file itkImageModelEstimatorBase.h.

MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void  )

inherited

Returns

A reference to this objects MetaDataDictionary.

Warning

This reference may be changed.

Definition at line 532 of file itkObject.cxx.

References NULL.

Referenced by otb::RenderingImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData(), itk::Brains2MaskImageIO::CanReadFile(), otb::DataNode< TPrecision, VDimension, TValuePrecision >::CopyFieldList(), otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), otb::Image< TPixel, VImageDimension >::CopyInformation(), itk::GDCMImageIO::GetBodyPart(), itk::GDCMImageIO::GetInstitution(), itk::GDCMImageIO::GetManufacturer(), itk::GDCMImageIO::GetModality(), itk::GDCMImageIO::GetModel(), itk::GDCMImageIO::GetNumberOfSeriesInStudy(), itk::GDCMImageIO::GetNumberOfStudyRelatedSeries(), itk::GDCMImageIO::GetPatientAge(), itk::GDCMImageIO::GetPatientDOB(), itk::GDCMImageIO::GetPatientID(), itk::GDCMImageIO::GetPatientName(), itk::GDCMImageIO::GetPatientSex(), itk::GDCMImageIO::GetScanOptions(), itk::GDCMImageIO::GetStudyDate(), itk::GDCMImageIO::GetStudyDescription(), itk::GDCMImageIO::GetStudyID(), itk::GDCMImageIO::GetValueFromTag(), otb::GDALImageIO::InternalReadImageInformation(), itk::GDCMImageIO::InternalReadImageInformation(), otb::GDALImageIO::InternalWriteImageInformation(), otb::RAMDrivenAdaptativeStreamingManager< TImage >::PrepareStreaming(), itk::DICOMImageIO2::Read(), itk::DICOMImageIO2::ReadImageInformation(), itk::NrrdImageIO::ReadImageInformation(), otb::JPEG2000ImageIO::ReadImageInformation(), itk::MetaImageIO::ReadImageInformation(), itk::VoxBoCUBImageIO::ReadImageInformation(), itk::MRCImageIO::ReadImageInformation(), itk::IPLCommonImageIO::ReadImageInformation(), itk::PhilipsRECImageIO::ReadImageInformation(), itk::AnalyzeImageIO::ReadImageInformation(), itk::Bruker2DSEQImageIO::ReadImageInformation(), otb::ImageMetadataInterfaceBase::SetImage(), itk::NiftiImageIO::SetImageIOMetadataFromNIfTI(), otb::VectorDataToLabelImageFilter< TVectorData, TOutputImage >::SetOutputParametersFromImage(), itk::NrrdImageIO::Write(), itk::GDCMImageIO::Write(), and itk::PolygonGroupSpatialObjectXMLFileWriter::WriteFile().

const MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void  ) const

inherited

Returns

A constant reference to this objects MetaDataDictionary.

Definition at line 543 of file itkObject.cxx.

References NULL.

unsigned long itk::Object::GetMTime ( void  ) const

virtualinherited

Return this objects modified time.

Return the modification for this object.

Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ShiftScalePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::SpatialObject< TDimension >, itk::SpatialObject< 3 >, itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, otb::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::MeshSpatialObject< TMesh >, and itk::SceneSpatialObject< TSpaceDimension >.

Definition at line 286 of file itkObject.cxx.

Referenced by itk::DeformationFieldSource< TOutputImage >::GetMTime(), itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >::GetMTime(), otb::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >::GetMTime(), itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< TDimension >::GetMTime(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime(), otb::Function::NoStretchRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), itk::VTKImageExportBase::PipelineModifiedCallback(), and itk::ProcessObject::UpdateOutputInformation().

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

virtual const char* itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.

template<class TInputImage , class TMembershipFunction >

unsigned int itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetNumberOfMembershipFunctions ( )

inlineinherited

Method to number of membership functions

Definition at line 116 of file itkImageModelEstimatorBase.h.

template<class TInputImage , class TMembershipFunction >

virtual const unsigned int& itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetNumberOfModels ( )

virtualinherited

Get the number of classes.

virtual const float& itk::LightProcessObject::GetProgress ( )

virtualinherited

Get the execution progress of a process object. The progress is a floating number between (0,1), 0 meaning no progress; 1 meaning the filter has completed execution.

virtual int itk::LightObject::GetReferenceCount ( ) const

inlinevirtualinherited

Gets the reference count on this object.

Definition at line 105 of file itkLightObject.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

virtual TrainingImagePointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::GetTrainingImage ( ) const

virtual

Get the training image.

static void itk::Object::GlobalWarningDisplayOff ( )

inlinestaticinherited

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

Referenced by itk::OutputWindow::DisplayText(), itk::Win32OutputWindow::PromptText(), and itk::Win32OutputWindow::WndProc().

static void itk::Object::GlobalWarningDisplayOn ( )

inlinestaticinherited

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

bool itk::Object::HasObserver ( const EventObject &  event ) const

inherited

Return true if an observer is registered for this event.

Definition at line 467 of file itkObject.cxx.

void itk::Object::InvokeEvent ( const EventObject &  event )

inherited

Call Execute on all the Commands observing this event id.

Definition at line 446 of file itkObject.cxx.

Referenced by otb::Wrapper::Application::AddProcess(), itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback(), and itk::VTKImageExportBase::UpdateDataCallback().

void itk::Object::InvokeEvent ( const EventObject &  event ) const

inherited

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

Definition at line 457 of file itkObject.cxx.

void itk::Object::Modified ( void  ) const

virtualinherited

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Make sure this object's modified time is greater than all others.

Reimplemented in otb::SVMModel< TValue, TLabel >, otb::SurfaceAdjacencyEffect6SCorrectionSchemeFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ShiftScalePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, otb::GenericRSTransform< TScalarType, NInputDimensions, NOutputDimensions >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, MeanShift::VectorBufferConverter >, otb::GCPsToRPCSensorModelImageFilter< TImage >, otb::Polygon< TValue >, otb::ImageRegionAdaptativeSplitter< VImageDimension >, otb::GenericInterpolateImageFunction< TInputImage, TFunction, TBoundaryCondition, TCoordRep >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, VDimension >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, 2 >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, otb::PhysicalToRPCSensorModelImageFilter< TImage >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, and otb::StatisticsXMLFileReader< TMeasurementVector >.

Definition at line 297 of file itkObject.cxx.

Referenced by otb::Wrapper::InputImageListParameter::AddFromFileName(), otb::Wrapper::InputVectorDataListParameter::AddFromFileName(), otb::Wrapper::InputFilenameListParameter::AddFromFileName(), otb::Wrapper::InputImageListParameter::AddImage(), otb::Wrapper::InputVectorDataListParameter::AddNullElement(), otb::Wrapper::InputImageListParameter::AddNullElement(), otb::Wrapper::InputFilenameListParameter::AddNullElement(), otb::Wrapper::StringListParameter::AddNullElement(), otb::VectorDataModel::AddPointToGeometry(), otb::Wrapper::InputVectorDataListParameter::AddVectorData(), otb::Wrapper::InputFilenameListParameter::ClearValue(), otb::Wrapper::InputVectorDataListParameter::ClearValue(), otb::Wrapper::InputImageListParameter::ClearValue(), otb::VectorDataModel::DeleteGeometry(), otb::VectorDataModel::EndGeometry(), otb::Wrapper::InputFilenameListParameter::Erase(), otb::Wrapper::InputVectorDataListParameter::Erase(), otb::Wrapper::InputImageListParameter::Erase(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), otb::ImageWidget< TInputImage >::LinearInterpolationOff(), otb::ImageWidget< TInputImage >::LinearInterpolationOn(), itk::MatrixOffsetTransformBase< TScalarType, NInputDimensions, NOutputDimensions >::MatrixOffsetTransformBase(), otb::ogr::ImageReference< double >::Modified(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetAutoMinMax(), otb::BlendingImageFilter< TInputImage1, TInputImage2, TOutputImage >::SetBlendingFunction(), otb::ImageLayerGenerator< TImageLayer >::SetBlendingFunction(), otb::TileMapImageIO::SetCacheDirectory(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetChannelList(), itk::LBFGSBOptimizer::SetCostFunction(), itk::MINC2ImageIO::SetDimensionName(), itk::ImageIOBase::SetDimensions(), otb::ImageIOBase::SetDimensions(), itk::ImageIOBase::SetDirection(), otb::ImageIOBase::SetDirection(), otb::Wrapper::InputImageListParameter::SetImageList(), itk::GDCMSeriesFileNames::SetInputDirectory(), otb::HistogramStatisticsFunction< TInputHistogram, TOutput >::SetInputHistogram(), otb::ImageToGenericRSOutputParameters< TImage >::SetInputKeywordList(), otb::Wrapper::InputImageListParameter::SetListFromFileName(), otb::Wrapper::InputVectorDataListParameter::SetListFromFileName(), otb::Wrapper::InputFilenameListParameter::SetListFromFileName(), otb::Function::RenderingFunction< TPixel, TRGBPixel >::SetListSample(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), otb::Wrapper::InputVectorDataListParameter::SetNthFileName(), otb::Wrapper::InputImageListParameter::SetNthFileName(), otb::Wrapper::InputFilenameListParameter::SetNthFileName(), otb::ImageIOBase::SetNumberOfDimensions(), itk::ImageIOBase::SetNumberOfDimensions(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ImageIOBase::SetOrigin(), otb::ImageIOBase::SetOrigin(), otb::ImageToGenericRSOutputParameters< TImage >::SetOutputProjectionRef(), otb::MapProjectionAdapter::SetParameter(), otb::Function::GaussianRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetParameters(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetParameters(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), otb::ImageLayerGenerator< TImageLayer >::SetRenderingFunction(), otb::RenderingImageFilter< TInputImage, TOutputImage >::SetRenderingFunction(), otb::ImageIOBase::SetSpacing(), itk::ImageIOBase::SetSpacing(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation(), otb::Wrapper::InputFilenameParameter::SetValue(), otb::Wrapper::OutputFilenameParameter::SetValue(), otb::Wrapper::ListViewParameter::SetValue(), otb::Wrapper::ChoiceParameter::SetValue(), otb::Wrapper::InputVectorDataListParameter::SetVectorDataList(), and otb::MapProjectionAdapter::SetWkt().

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

static Pointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::New ( )

static

Method for creation through the object factory.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

void itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::operator= ( const Self &  )

private

void itk::LightObject::Print ( std::ostream &  os, Indent  indent = 0  ) const

inherited

Cause the object to print itself out.

Avoid DLL boundary problems. This function will be common to all itk objects. It just calls the header/self/trailer virtual print methods, which can be overriden by subclasses (any itk object).

Definition at line 135 of file itkLightObject.cxx.

References itk::Indent::GetNextIndent().

Referenced by itk::operator<<().

void itk::LightObject::PrintHeader ( std::ostream &  os, Indent  indent  ) const

protectedvirtualinherited

Define a default print header for all objects.

Definition at line 320 of file itkLightObject.cxx.

bool itk::Object::PrintObservers ( std::ostream &  os, Indent  indent  ) const

protectedinherited

Definition at line 478 of file itkObject.cxx.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

void itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::PrintSelf ( std::ostream &  os, Indent  indent  ) const

protectedvirtual

PrintSelf

Reimplemented from itk::Object.

Definition at line 51 of file itkImageGaussianModelEstimator.txx.

void itk::LightObject::PrintTrailer ( std::ostream &  os, Indent  indent  ) const

protectedvirtualinherited

Define a default print trailer for all objects.

Definition at line 331 of file itkLightObject.cxx.

void itk::Object::Register ( ) const

virtualinherited

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

Definition at line 309 of file itkObject.cxx.

Referenced by itk::ObjectFactoryBase::RegisterFactory().

void itk::Object::RemoveAllObservers ( )

inherited

Remove all observers .

Definition at line 435 of file itkObject.cxx.

void itk::Object::RemoveObserver ( unsigned long  tag )

inherited

Remove the observer with this tag value.

Definition at line 425 of file itkObject.cxx.

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), and otb::ImageFileWriter< TInputImage >::Update().

virtual void itk::LightProcessObject::SetAbortGenerateData ( bool  _arg )

virtualinherited

Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

void itk::Object::SetDebug ( bool  debugFlag ) const

inherited

Set the value of the debug flag. A non-zero value turns debugging on.

Definition at line 275 of file itkObject.cxx.

void itk::Object::SetGlobalWarningDisplay ( bool  val )

staticinherited

This is a global flag that controls whether any debug, warning or error messages are displayed.

Set the value of the global debug output control flag.

Definition at line 370 of file itkObject.cxx.

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

template<class TInputImage , class TMembershipFunction >

virtual void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetInputImage ( InputImageType *  _arg )

virtualinherited

Type definitions for the training image. Set the input image.

template<class TInputImage , class TMembershipFunction >

void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetMembershipFunctions ( MembershipFunctionPointerVector  membershipFunctions )

inlineinherited

Set the classified image.

Definition at line 103 of file itkImageModelEstimatorBase.h.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary &  rhs )

inherited

Returns

Set the MetaDataDictionary

Definition at line 554 of file itkObject.cxx.

References NULL.

Referenced by otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), and otb::Image< TPixel, VImageDimension >::CopyInformation().

template<class TInputImage , class TMembershipFunction >

virtual void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetNumberOfModels ( unsigned int  _arg )

virtualinherited

Set the number of classes.

virtual void itk::LightProcessObject::SetProgress ( float  _arg )

virtualinherited

Set the execution progress of a process object. The progress is a floating number between (0,1), 0 meaning no progress; 1 meaning the filter has completed execution.

void itk::Object::SetReferenceCount ( int  ref )

virtualinherited

Sets the reference count (use with care)

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 347 of file itkObject.cxx.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

virtual void itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::SetTrainingImage ( TrainingImagePointer  _arg )

virtual

Set the training image.

void itk::Object::UnRegister ( ) const

virtualinherited

Decrease the reference count (release by another object).

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 324 of file itkObject.cxx.

Referenced by itk::Object::New(), and itk::ObjectFactoryBase::UnRegisterFactory().

template<class TInputImage , class TMembershipFunction >

void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Update ( void  )

inherited

Define a virtual function to perform model generation from the input data

Definition at line 46 of file itkImageModelEstimatorBase.txx.

void itk::LightProcessObject::UpdateOutputData ( void  )

virtualinherited

Actually generate new output.

GenerateData this object - we have not aborted yet, and our progress before we start to execute is 0.0.

If we ended due to aborting, push the progress up to 1.0 (since it probably didn't end there)

Definition at line 77 of file itkLightProcessObject.cxx.

void itk::LightProcessObject::UpdateProgress ( float  amount )

inherited

Update the progress of the process object. If a ProgressMethod exists, executes it. Then set the Progress ivar to amount. The parameter amount should range between (0,1).

Definition at line 51 of file itkLightProcessObject.cxx.

Member Data Documentation

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

MatrixType* itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::m_Covariance

private

Definition at line 148 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

MatrixType itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::m_Means

private

Definition at line 147 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

MatrixType itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::m_NumberOfSamples

private

Definition at line 146 of file itkImageGaussianModelEstimator.h.

InternalReferenceCountType itk::LightObject::m_ReferenceCount

mutableprotectedinherited

Number of uses of this object by other objects.

Definition at line 141 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock

mutableprotectedinherited

Mutex lock to protect modification to the reference count

Definition at line 144 of file itkLightObject.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

TrainingImagePointer itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::m_TrainingImage

private

Definition at line 150 of file itkImageGaussianModelEstimator.h.

template<class TInputImage , class TMembershipFunction , class TTrainingImage >

const unsigned int itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >::VectorDimension = InputImagePixelType::Dimension

staticprivate

Dimension of the each individual pixel vector.

Definition at line 143 of file itkImageGaussianModelEstimator.h.

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The documentation for this class was generated from the following files:

• itkImageGaussianModelEstimator.h
• itkImageGaussianModelEstimator.txx