#include <itkVectorFuzzyConnectednessImageFilter.h>

Inheritance diagram for itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >:

Collaboration diagram for itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >:

Public Types
typedef Image< AffinityVector, itkGetStaticConstMacro(ImageDimension)>	AffinityImageType

typedef Vector< unsigned short, itkGetStaticConstMacro(ImageDimension)>	AffinityVector

typedef SmartPointer< const Self >	ConstPointer

typedef DataObject::Pointer	DataObjectPointer

typedef std::vector < DataObjectPointer >	DataObjectPointerArray

typedef DataObjectPointerArray::size_type	DataObjectPointerArraySizeType

typedef std::vector < DoubleMatrixType >	DoubleMatrixArrayType

typedef Matrix< double, itkGetStaticConstMacro(VectorDimension), itkGetStaticConstMacro(VectorDimension)>	DoubleMatrixType

typedef std::vector < DoubleVectorType >	DoubleVectorArrayType

typedef Vector< double, itkGetStaticConstMacro(VectorDimension)>	DoubleVectorType

typedef TInputImage::IndexType	IndexType

typedef InputImageType::ConstPointer	InputImageConstPointer

typedef InputImageType::PixelType	InputImagePixelType

typedef InputImageType::Pointer	InputImagePointer

typedef InputImageType::RegionType	InputImageRegionType

typedef TInputImage	InputImageType

typedef TInputImage::PixelType	InputPixelType

typedef InputPixelType::VectorType	InputVectorType

typedef std::vector< ListSeedType >	ListSeedArrayType

typedef std::list< IndexType >	ListSeedType

typedef std::vector< TDVector >	OffsetType

typedef Superclass::OutputImagePixelType	OutputImagePixelType

typedef OutputImageType::Pointer	OutputImagePointer

typedef Superclass::OutputImageRegionType	OutputImageRegionType

typedef TOutputImage	OutputImageType

typedef TOutputImage::PixelType	OutputPixelType

typedef TOutputImage::RegionType	OutRegionType

typedef SmartPointer< Self >	Pointer

typedef VectorFuzzyConnectednessImageFilter	Self

typedef TInputImage::SizeType	SizeType

typedef ImageToImageFilter < TInputImage, TOutputImage >	Superclass

typedef Vector< int, 2 >	TDVector

typedef Image< unsigned short, itkGetStaticConstMacro(ImageDimension)>	UShortImageType

Public Member Functions
virtual void	AbortGenerateDataOff ()

virtual void	AbortGenerateDataOn ()

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 ()

virtual void	EnlargeOutputRequestedRegion (DataObject *)

virtual const bool &	GetAbortGenerateData ()

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

const InputImageType *	GetInput (void)

const InputImageType *	GetInput (unsigned int idx)

DataObjectPointerArray &	GetInputs ()

MetaDataDictionary &	GetMetaDataDictionary (void)

const MetaDataDictionary &	GetMetaDataDictionary (void) const

virtual unsigned long	GetMTime () const

MultiThreader *	GetMultiThreader ()

virtual const char *	GetNameOfClass () const

DataObjectPointerArraySizeType	GetNumberOfInputs () const

virtual int	GetNumberOfObjects ()

DataObjectPointerArraySizeType	GetNumberOfOutputs () const

virtual const int &	GetNumberOfThreads ()

virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const

OutputImageType *	GetOutput (void)

OutputImageType *	GetOutput (unsigned int idx)

DataObjectPointerArray &	GetOutputs ()

virtual const float &	GetProgress ()

virtual int	GetReferenceCount () const

virtual const bool &	GetReleaseDataBeforeUpdateFlag ()

virtual bool	GetReleaseDataFlag () const

virtual void	GraftNthOutput (unsigned int idx, DataObject *output)

virtual void	GraftOutput (DataObject *output)

bool	HasObserver (const EventObject &event) const

void	Initialization ()

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual DataObjectPointer	MakeOutput (unsigned int idx)

virtual void	Modified () const

virtual void	PopBackInput ()

virtual void	PopFrontInput ()

virtual void	PrepareOutputs ()

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

virtual void	PropagateRequestedRegion (DataObject *output)

virtual void	PushBackInput (const InputImageType *image)

virtual void	PushFrontInput (const InputImageType *image)

virtual void	Register () const

virtual void	ReleaseDataBeforeUpdateFlagOff ()

virtual void	ReleaseDataBeforeUpdateFlagOn ()

void	ReleaseDataFlagOff ()

void	ReleaseDataFlagOn ()

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

virtual void	ResetPipeline ()

virtual void	SetAbortGenerateData (bool _arg)

void	SetDebug (bool debugFlag) const

void	SetHomogeneityMatrix (const DoubleMatrixType homo_max)

virtual void	SetInput (const InputImageType *image)

virtual void	SetInput (unsigned int, const TInputImage *image)

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

virtual void	SetNumberOfObjects (int _arg)

virtual void	SetNumberOfThreads (int _arg)

void	SetObjectsMatrix (const DoubleMatrixType object_max, const int object_num)

void	SetObjectsMean (const DoubleVectorType, const int object_num)

void	SetObjectsSeed (const IndexType &seed, const int object_num)

virtual void	SetProgress (float _arg)

virtual void	SetReferenceCount (int)

virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)

virtual void	SetReleaseDataFlag (bool flag)

void	SetSuppressBckgFlag (const int flag)

void	SetThreshold (const float threshold)

virtual void	UnRegister () const

virtual void	Update ()

virtual void	UpdateLargestPossibleRegion ()

virtual void	UpdateOutputData (DataObject *output)

virtual void	UpdateOutputInformation ()

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)

Static Public Attributes
static const unsigned int	ImageDimension = TInputImage::ImageDimension

static const unsigned int	InputImageDimension = TInputImage::ImageDimension

static const unsigned int	OutputImageDimension = TOutputImage::ImageDimension

static const unsigned int	VectorDimension = InputPixelType::Dimension

Protected Types
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)>	InputToOutputRegionCopierType

typedef int	InternalReferenceCountType

typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)>	OutputToInputRegionCopierType

Protected Member Functions
	VectorFuzzyConnectednessImageFilter ()

	~VectorFuzzyConnectednessImageFilter ()

virtual void	AddInput (DataObject *input)

virtual void	AddOutput (DataObject *output)

virtual void	AfterThreadedGenerateData ()

virtual void	AllocateOutputs ()

virtual void	BeforeThreadedGenerateData ()

virtual void	CacheInputReleaseDataFlags ()

virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)

virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)

void	GenerateData ()

virtual void	GenerateInputRequestedRegion ()

virtual void	GenerateOutputInformation ()

virtual void	GenerateOutputRequestedRegion (DataObject *output)

const DataObject *	GetInput (unsigned int idx) const

virtual const unsigned int &	GetNumberOfRequiredInputs ()

virtual const unsigned int &	GetNumberOfRequiredOutputs ()

const DataObject *	GetOutput (unsigned int idx) const

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

virtual void	PropagateResetPipeline ()

void	PushBackInput (const DataObject *input)

void	PushFrontInput (const DataObject *input)

virtual void	ReleaseInputs ()

virtual void	RemoveInput (DataObject *input)

virtual void	RemoveOutput (DataObject *output)

virtual void	RestoreInputReleaseDataFlags ()

virtual void	SetNthInput (unsigned int num, DataObject *input)

virtual void	SetNthOutput (unsigned int num, DataObject *output)

void	SetNumberOfInputs (unsigned int num)

void	SetNumberOfOutputs (unsigned int num)

virtual void	SetNumberOfRequiredInputs (unsigned int _arg)

virtual void	SetNumberOfRequiredOutputs (unsigned int _arg)

virtual int	SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)

virtual void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)

Static Protected Member Functions
static ITK_THREAD_RETURN_TYPE	ThreaderCallback (void *arg)

Protected Attributes
TimeStamp	m_OutputInformationMTime

InternalReferenceCountType	m_ReferenceCount

SimpleFastMutexLock	m_ReferenceCountLock

bool	m_Updating

Private Member Functions
	VectorFuzzyConnectednessImageFilter (const Self &)

void	Compute_Affinity (const int)

void	Compute_Filter ()

void	Compute_Scale ()

void	Fast_Tracking (const int)

double	FuzzyAffinity (const InputVectorType, const InputVectorType, const int)

void	operator= (const Self &)

void	ScalePrepare ()

Private Attributes
AffinityImageType::Pointer	m_AffinityImage

std::vector< OffsetType >	m_CirclePointsLoc

std::vector< int >	m_CirclePointsNum

InputImageType::Pointer	m_FilterImage

UShortImageType::Pointer	m_FuzzyConnImage

DoubleMatrixType	m_HomoCovariance

InputImageType::ConstPointer	m_InputImage

InputPixelType	m_Mean

int	m_NumberOfObjects

DoubleMatrixArrayType	m_ObjectCovariances

DoubleVectorArrayType	m_ObjectMeans

ListSeedArrayType	m_ObjectSeeds

std::vector< char >	m_ScaleArray

OutputImageType::Pointer	m_SegmentObject

SizeType	m_Size

int	m_SuppressBckgFlag

float	m_Threshold

Detailed Description

template<class TInputImage, class TOutputImage>
class itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >

The purpose of our program is to segment an object of interest in vectorial images using fuzzy connectedness principles. Here is a very brief description of these principles.

There are four basic concepts in fuzzy connectedness: fuzzy affinity [1,2], fuzzy connectedness [1], scale [2], and relative fuzzy connectedness [3]. These references give a complete theoretical basis and description of the underlying algorithms. For algorithm implementation and efficiency, see [4].

Fuzzy affinity is a local fuzzy relation which is defined on the whole image domain. It assigns to every pair of nearby voxels a strength of local hanging togetherness. Two components of fuzzy affinity named homogeneity-feature-based affinity and object-feature-based affinity are devised in a fully vectorial manner. The strength of affinity between any two nearby voxels v1 and v2 is large when v1 and v2 are spatially close, the intensity vectors of voxels in the "vicinity" of v1 and v2 have a high degree of homogeneity, and the intensity vectors are close to an intensity vector expected for the object of interest. (If v1 and v2 are far apart, their affinity is considered to be 0) The extent of "vicinity" is determined by the "scale" value assigned to v1 and v2.

"Scale" is a number assigned to every voxel in the image. It represents the radius of the largest ball centered at the voxel within which the vectorial values of all voxels are homogeneous. In determining affinity between two voxels, all voxels within the ball associated with both voxels are considered. Scale-based fuzzy affinity and fuzzy connectedness can make our algorithms more robust and less sensitive to noise.

A global fuzzy relation called fuzzy connectedness is defined on the whole image domain which assigns to every pair of voxels a strength of global hanging togetherness. The strength of hanging togetherness (connectedness) between two voxels is the largest of the strengths of all paths between them. The strength of any path is simply the smallest affinity of successive pair of voxels along the path.

The other important concept is relative fuzzy connectedness. An object gets defined in an image because of the presence of other co-objects. All co-objects of importance that are present in an image are let to compete among themselves in having voxels as their members. In this competition, every pair of voxels in the image will have a strength of connectedness in each object. The object in which this strength is highest will claim membership of the voxels. Suppose that there are n objects (note that image background is also an object) in the image and that we specify a seed voxel si in each object. Then any voxel v in the image has a strength of connectedness with respect to each si. Voxel v is considered to belong to that object with respect to whose seed v has the highest strength of connectedness [3]. The method requires some modification when a set of seed voxels is specified for each object. The basic algorithmic tool required in all cases is dynamic programming.

The fuzzy connectedness methods have been utilized on 1000s of images in several applications [6-10].

Our program takes a vectorial image as input and produces one binary output. The procedure includes six main steps.

Use function Compute_LookupTable () to setup three look-up tables m_ScaleMap, m_HomogeneityMap and m_ObjectMap in order to facilitate the computation of scale, homogeneity-based affinity and object-feature-based * affinity.
Use function Compute_Scale() to compute scale value at every voxel in and keep them in m_ScaleArray. In our program we set the maximum scale value as 8, this value could be changed in terms of the input image.
Use function Compute_Filter() to compute scale-based filtered vectorial value at every voxel and keep the value in m_FilterImage, this step is to speed up the computation of next step.
Use function Compute_Affinity() to compute fuzzy affinity value of each pair of neighboring voxels and keep them in m_Xaffinity, m_Yaffinity, and m_Zaffinity in terms of the coordinate direction. At first, we compute homogeneity-based affinity, them compute object-feature-based affinity, finally we combine them together.
Use function FastTracking() to compute global fuzzy connectedness between every voxel and seed points of foreground (selected object) and compute global fuzzy connectedness between every voxel and seed points of background ( other objects). And keep their values in m_ObjectFuzzyScene and m_BackgroundFuzzyScene respectively.
In function GenerateDate(), we implement iterative relative fuzzy connectedness strategy. We let foreground and background to compete between them for having voxels as their members in an iterative fashion [5].

Before running our program, user needs to input some parameters.

Use function SetObjects to set the number of objects of importance in the image.
Use function SetSelectedObject to specify the particular object to be segmented.
Use function SetObjectsSeed to specify seed points for objects.
Use function SetObjectsMean to specify the mean value of the intensity vector for objects.
Use function SetObjectsMatrix to specify the covariance matrix of the intensity vector for objects.

Reference:

J. K. Udupa and S. Samarasekera, Fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation, Graphical Models Image Processing 58, 1996, 246-261.
P. K. Saha, J. K. Udupa, and D. Odhner, Scale-based fuzzy connected image segmentation: theory, algorithms, and validation, Computer Vision and Image Understanding 77, 2000, 145-174.
P. K.Saha and J. K. Udupa, Relative Fuzzy connectedness among multiple objects: Theory, algorithms, and applications in image segmentation, Computer Vision and Image Understanding 82, 2001, 42-56.
L. G. Nyul and J. K. Udupa, Fuzzy-connected 3D image segmentation at interactive speeds, Proc. SPIE: Medical Imaging 3979, 2000, 212-223.
P. K.Saha and J. K. Udupa, Iterative relative fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation, in Proc. Of IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2000, 28-35.
J. K. Udupa, L. Wei, S. Samarasekera, Y. Miki, M. A. van Buchen, and R. I. Grossman, Multiple sclerosis lesion quantification using fuzzy connected principles, IEEE Trans. Med. Imag. 16(5), 1997, 598-609.
B. L. Rice and J. K. Udupa, Fuzzy connected clutter-free volume rendering for MR angiography, Int. J. Imaging System. Tech. 11, 2000, 62-70.
T. Lei and J. K. Udupa, Artery-Vein Separation via MRA-An Image Processing Approch, IEEE Trans. Med. Imag. 20(8), 2001, 689-703.
P. K. Saha, J. K. Udupa, E. F. conant, D. P. Chakraborty, and D. Sullivan, Breast Tissue density Quantification via Digitized Mammograms, IEEE Trans. Med. Imag. 20(8), 2001, 792-803.
J. Liu, J. K. Udupa, D. Hackney, and G. Moonis, Brain tumor segmentation in MRI by using the fuzzy connectedness method, Proc. SPIE: Medical Imaging 4322, 2001, 1455-1465.

Definition at line 161 of file itkVectorFuzzyConnectednessImageFilter.h.

Member Typedef Documentation

template<class TInputImage , class TOutputImage >

typedef Image<AffinityVector, itkGetStaticConstMacro(ImageDimension)> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::AffinityImageType

Definition at line 209 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Vector<unsigned short,itkGetStaticConstMacro(ImageDimension)> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::AffinityVector

Vector of unsigned sStrong affinity type

Definition at line 195 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef SmartPointer<const Self> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::ConstPointer

Definition at line 169 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TOutputImage>

typedef DataObject::Pointer itk::ImageSource< TOutputImage >::DataObjectPointer

inherited

Smart Pointer type to a DataObject.

Definition at line 62 of file itkImageSource.h.

typedef std::vector<DataObjectPointer> itk::ProcessObject::DataObjectPointerArray

inherited

STL Array of SmartPointers to DataObjects

Definition at line 103 of file itkProcessObject.h.

typedef DataObjectPointerArray::size_type itk::ProcessObject::DataObjectPointerArraySizeType

inherited

Size type of an std::vector

Definition at line 112 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage >

typedef std::vector<DoubleMatrixType> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::DoubleMatrixArrayType

Array of double matrics

Definition at line 192 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Matrix<double, itkGetStaticConstMacro(VectorDimension), itkGetStaticConstMacro(VectorDimension)> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::DoubleMatrixType

Double matrix type

Definition at line 189 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef std::vector<DoubleVectorType> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::DoubleVectorArrayType

Array of double vectors

Definition at line 201 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Vector<double, itkGetStaticConstMacro(VectorDimension)> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::DoubleVectorType

Vector of double type

Definition at line 198 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TInputImage::IndexType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::IndexType

Definition at line 211 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef InputImageType::ConstPointer itk::ImageToImageFilter< TInputImage, TOutputImage >::InputImageConstPointer

inherited

Definition at line 84 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef InputImageType::PixelType itk::ImageToImageFilter< TInputImage, TOutputImage >::InputImagePixelType

inherited

Definition at line 86 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef InputImageType::Pointer itk::ImageToImageFilter< TInputImage, TOutputImage >::InputImagePointer

inherited

Definition at line 83 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef InputImageType::RegionType itk::ImageToImageFilter< TInputImage, TOutputImage >::InputImageRegionType

inherited

Definition at line 85 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TInputImage itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::InputImageType

Convenient typedefs.

Definition at line 206 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TInputImage::PixelType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::InputPixelType

Extract the image and vector types from the template parameters.

Definition at line 175 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)> itk::ImageToImageFilter< TInputImage, TOutputImage >::InputToOutputRegionCopierType

protectedinherited

Typedef for the region copier function object that converts an input region to an output region.

Definition at line 161 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef InputPixelType::VectorType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::InputVectorType

Definition at line 180 of file itkVectorFuzzyConnectednessImageFilter.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 TOutputImage >

typedef std::vector<ListSeedType> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::ListSeedArrayType

Array of Lists

Definition at line 219 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef std::list<IndexType> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::ListSeedType

List of Seeds type

Definition at line 216 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef std::vector<TDVector> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::OffsetType

Definition at line 221 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef Superclass::OutputImagePixelType itk::ImageToImageFilter< TInputImage, TOutputImage >::OutputImagePixelType

inherited

Definition at line 79 of file itkImageToImageFilter.h.

template<class TOutputImage>

typedef OutputImageType::Pointer itk::ImageSource< TOutputImage >::OutputImagePointer

inherited

Definition at line 69 of file itkImageSource.h.

template<class TInputImage, class TOutputImage>

typedef Superclass::OutputImageRegionType itk::ImageToImageFilter< TInputImage, TOutputImage >::OutputImageRegionType

inherited

Superclass typedefs.

Definition at line 75 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TOutputImage itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::OutputImageType

Definition at line 207 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TOutputImage::PixelType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::OutputPixelType

Definition at line 179 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)> itk::ImageToImageFilter< TInputImage, TOutputImage >::OutputToInputRegionCopierType

protectedinherited

Typedef for the region copier function object that converts an output region to an input region.

Definition at line 166 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TOutputImage::RegionType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::OutRegionType

Definition at line 213 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef SmartPointer<Self> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::Pointer

Definition at line 168 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef VectorFuzzyConnectednessImageFilter itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs.

Definition at line 166 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TInputImage::SizeType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SizeType

Definition at line 212 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef ImageToImageFilter<TInputImage,TOutputImage> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::Superclass

Definition at line 167 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Vector<int,2> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::TDVector

Definition at line 203 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Image<unsigned short,itkGetStaticConstMacro(ImageDimension)> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::UShortImageType

Definition at line 208 of file itkVectorFuzzyConnectednessImageFilter.h.

Constructor & Destructor Documentation

template<class TInputImage , class TOutputImage >

itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::VectorFuzzyConnectednessImageFilter ( )

protected

Definition at line 33 of file itkVectorFuzzyConnectednessImageFilter.txx.

template<class TInputImage , class TOutputImage >

itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::~VectorFuzzyConnectednessImageFilter ( )

protected

Definition at line 56 of file itkVectorFuzzyConnectednessImageFilter.txx.

template<class TInputImage , class TOutputImage >

itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::VectorFuzzyConnectednessImageFilter ( const Self & )

private

Member Function Documentation

virtual void itk::ProcessObject::AbortGenerateDataOff ( )

virtualinherited

virtual void itk::ProcessObject::AbortGenerateDataOn ( )

virtualinherited

Turn on and off the AbortGenerateData flag.

void itk::ProcessObject::AddInput ( DataObject * input )

protectedvirtualinherited

Adds an input to the first null position in the input list. Expands the list memory if necessary

Reimplemented in otb::ObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionPrecision, TCoordRep >, otb::DescriptorsListSampleGenerator< TInputImage, TVectorData, TListSample, TLabelListSample, TOutputPrecision, TCoordRep >, otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabelListSample >, and otb::PersistentObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionType >.

Definition at line 144 of file itkProcessObject.cxx.

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::ProcessObject::AddOutput ( DataObject * output )

protectedvirtualinherited

Adds an output to the first null position in the output list. Expands the list memory if necessary

Definition at line 390 of file itkProcessObject.cxx.

References itk::DataObject::ConnectSource().

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::AfterThreadedGenerateData ( void )

inlineprotectedvirtualinherited

If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Definition at line 264 of file itkImageSource.h.

template<class TOutputImage >

void itk::ImageSource< TOutputImage >::AllocateOutputs ( )

protectedvirtualinherited

The GenerateData method normally allocates the buffers for all of the outputs of a filter. Some filters may want to override this default behavior. For example, a filter may have multiple outputs with varying resolution. Or a filter may want to process data in place by grafting its input to its output.

Definition at line 197 of file itkImageSource.txx.

References itk::ProcessObject::GetOutput(), and itk::ImageBase< VImageDimension >::SetBufferedRegion().

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::BeforeThreadedGenerateData ( void )

inlineprotectedvirtualinherited

If an imaging filter needs to perform processing after the buffer has been allocated but before threads are spawned, the filter can can provide an implementation for BeforeThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Definition at line 252 of file itkImageSource.h.

Referenced by otb::RenderingImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData().

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.

void itk::ProcessObject::CacheInputReleaseDataFlags ( )

protectedvirtualinherited

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

Definition at line 1050 of file itkProcessObject.cxx.

template<class TInputImage , class TOutputImage >

void itk::ImageToImageFilter< TInputImage, TOutputImage >::CallCopyInputRegionToOutputRegion	(	OutputImageRegionType &	destRegion,
		const InputImageRegionType &	srcRegion
	)

protectedvirtualinherited

This function calls the actual region copier to do the mapping from input image space to output image space. It uses a Function object used for dispatching to various routines to copy an input region (start index and size) to an output region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::UnaryFunctorImageFilter can support output images of a higher dimension that the input.

This function object is used by the default implementation of GenerateOutputInformation(). It can also be used in routines like ThreadedGenerateData() where a filter may need to map an input region to an output region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the first portion of the input region is copied to the output region. If the input region is a lower dimension than the output, the input region information is copied into the first portion of the output region and the rest of the output region is set to zero.

If a filter needs a different default behavior, it can override this method.

Reimplemented in otb::WaveletFilterBank< TInputImage, TOutputImage, TWaveletOperator, Wavelet::INVERSE >, otb::WaveletFilterBank< TInputImage, TOutputImage, TWaveletOperator, Wavelet::FORWARD >, otb::SubsampleImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >, and otb::DecimateImageFilter< TInputImage, TOutputImage >.

Definition at line 165 of file itkImageToImageFilter.txx.

template<class TInputImage , class TOutputImage >

void itk::ImageToImageFilter< TInputImage, TOutputImage >::CallCopyOutputRegionToInputRegion	(	InputImageRegionType &	destRegion,
		const OutputImageRegionType &	srcRegion
	)

protectedvirtualinherited

This function calls the actual region copier to do the mapping from output image space to input image space. It uses a Function object used for dispatching to various routines to copy an output region (start index and size) to an input region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::ExtractImageFilter can support output images of a lower dimension that the input.

This function object can be used by GenerateOutputInformation() to copy the input LargestPossibleRegion to the output LargestPossibleRegion and can also be used in GenerateData or ThreadedGenerateData() where a filter may need to map an output region to an input region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the output region information is copied into the first portion of the input region and the rest of the input region is set to zero. If the input region is a lower dimension than the output, the first portion of the output region is copied to the input region.

If a filter needs a different default behavior, it can override this method. The ExtractImageFilter overrides this function object so that if the input image is a higher dimension than the output image, the filter can control "where" in the input image the output subimage is extracted (as opposed to mapping to first few dimensions of the input).

Reimplemented in otb::WaveletFilterBank< TInputImage, TOutputImage, TWaveletOperator, Wavelet::INVERSE >, otb::WaveletFilterBank< TInputImage, TOutputImage, TWaveletOperator, Wavelet::FORWARD >, otb::SubsampleImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >, and otb::DecimateImageFilter< TInputImage, TOutputImage >.

Definition at line 154 of file itkImageToImageFilter.txx.

template<class TInputImage , class TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::Compute_Affinity ( const int object )

private

Definition at line 536 of file itkVectorFuzzyConnectednessImageFilter.txx.

References itk::FixedArray< TValueType, VLength >::Fill().

template<class TInputImage , class TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::Compute_Filter ( )

private

Definition at line 345 of file itkVectorFuzzyConnectednessImageFilter.txx.

References itk::ImageRegionConstIterator< TImage >::GoToBegin(), and MAX_SCALE.

template<class TInputImage , class TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::Compute_Scale ( )

private

Definition at line 236 of file itkVectorFuzzyConnectednessImageFilter.txx.

References itk::Size< VDimension >::Fill(), itk::FixedArray< T, NVectorDimension >::Fill(), itk::ImageRegionConstIterator< TImage >::GoToBegin(), MAX_SCALE, and itk::Neighborhood< TPixel, VDimension, TAllocator >::Size().

template<class TInputImage , class TOutputImage >

virtual::itk::LightObject::Pointer itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::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.

virtual void itk::ProcessObject::EnlargeOutputRequestedRegion ( DataObject * )

inlinevirtualinherited

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.

Definition at line 224 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::Fast_Tracking ( const int object )

private

object tracking...

Definition at line 594 of file itkVectorFuzzyConnectednessImageFilter.txx.

template<class TInputImage , class TOutputImage >

double itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::FuzzyAffinity	(	const InputVectorType	value1,
		const InputVectorType	value2,
		const int	object
	)

private

Definition at line 453 of file itkVectorFuzzyConnectednessImageFilter.txx.

template<class TInputImage , class TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::GenerateData ( void )

protectedvirtual

Standard pipeline method.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 719 of file itkVectorFuzzyConnectednessImageFilter.txx.

References itk::ImageRegionConstIterator< TImage >::GoToBegin(), itk::ImageConstIterator< TImage >::IsAtEnd(), and itk::ImageRegionIterator< TImage >::Set().

template<class TInputImage , class TOutputImage >

void itk::ImageToImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion ( void )

protectedvirtualinherited

What is the input requested region that is required to produce the output requested region? The base assumption for image processing filters is that the input requested region can be set to match the output requested region. If a filter requires more input (for instance a filter that uses neighborhoods needs more input than output to avoid introducing artificial boundary conditions) or less input (for instance a magnify filter) will have to override this method. In doing so, it should call its superclass' implementation as its first step. Note that imaging filters operate differently than the classes to this point in the class hierachy. Up till now, the base assumption has been that the largest possible region will be requested of the input.

This implementation of GenerateInputRequestedRegion() only processes the inputs that are a subclass of the ImageBase<InputImageDimension>. If an input is another type of DataObject (including an Image of a different dimension), they are skipped by this method. The subclasses of ImageToImageFilter are responsible for providing an implementation of GenerateInputRequestedRegion() when there are multiple inputs of different types.

See Also: ProcessObject::GenerateInputRequestedRegion(), ImageSource::GenerateInputRequestedRegion()

Reimplemented from itk::ProcessObject.

Definition at line 110 of file itkImageToImageFilter.txx.

References itk::ProcessObject::GetInput().

Referenced by otb::LabelMapToLabelImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion(), otb::LabelObjectOpeningMuParserFilter< TImage, TFunction >::GenerateInputRequestedRegion(), otb::RelabelComponentImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion(), otb::BandsStatisticsAttributesLabelMapFilter< TImage, TFeatureImage >::GenerateInputRequestedRegion(), and otb::ShapeAttributesLabelMapFilter< TImage, TLabelImage >::GenerateInputRequestedRegion().

void itk::ProcessObject::GenerateOutputInformation ( void )

protectedvirtualinherited

Generate the information decribing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Default implementation - copy information from first input to all outputs

Examples:: Fusion/BayesianFusionImageFilter.cxx.

Definition at line 1095 of file itkProcessObject.cxx.

Referenced by main().

void itk::ProcessObject::GenerateOutputRequestedRegion ( DataObject * output )

protectedvirtualinherited

Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly.

Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type.

By default we set all the output requested regions to be the same.

Reimplemented in otb::watershed::Segmenter< TInputImage >, itk::watershed::Segmenter< TInputImage >, otb::watershed::Segmenter< InputImageType >, itk::watershed::Segmenter< InputImageType >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::SegmentTreeGenerator< ScalarType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, otb::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, otb::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, otb::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::BoundaryResolver< TPixelType, TDimension >, otb::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, and itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >.

Definition at line 846 of file itkProcessObject.cxx.

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

virtualinherited

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

Referenced by itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback().

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 TOutputImage >

const ImageToImageFilter< TInputImage, TOutputImage >::InputImageType * itk::ImageToImageFilter< TInputImage, TOutputImage >::GetInput ( void )

inherited

Definition at line 82 of file itkImageToImageFilter.txx.

References itk::ProcessObject::GetInput().

Referenced by otb::RenderingImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData(), and otb::ROIdataConversion< TInputImage, TInputROIImage >::GetInputImage().

template<class TInputImage , class TOutputImage >

const ImageToImageFilter< TInputImage, TOutputImage >::InputImageType * itk::ImageToImageFilter< TInputImage, TOutputImage >::GetInput ( unsigned int idx )

inherited

Definition at line 99 of file itkImageToImageFilter.txx.

References itk::ProcessObject::GetInput().

const DataObject * itk::ProcessObject::GetInput ( unsigned int idx ) const

protectedinherited

Definition at line 482 of file itkProcessObject.cxx.

References NULL.

DataObjectPointerArray& itk::ProcessObject::GetInputs ( )

inlineinherited

Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc.

Definition at line 108 of file itkProcessObject.h.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

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.

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.

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().

MultiThreader* itk::ProcessObject::GetMultiThreader ( )

inlineinherited

Return the multithreader used by this class.

Definition at line 280 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage >

virtual const char* itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfInputs ( ) const

inlineinherited

Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null.

Definition at line 118 of file itkProcessObject.h.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

template<class TInputImage , class TOutputImage >

virtual int itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::GetNumberOfObjects ( )

virtual

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs ( ) const

inlineinherited

Definition at line 135 of file itkProcessObject.h.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs ( )

protectedvirtualinherited

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs ( )

protectedvirtualinherited

virtual const int& itk::ProcessObject::GetNumberOfThreads ( )

virtualinherited

Referenced by itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SplitRequestedRegion().

ProcessObject::DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfValidRequiredInputs ( ) const

virtualinherited

Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector.

Get the number of specified inputs

Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 112 of file itkProcessObject.cxx.

template<class TOutputImage >

ImageSource< TOutputImage >::OutputImageType * itk::ImageSource< TOutputImage >::GetOutput ( void )

inherited

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );

anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();

image->Update();

someFilter->Update();

image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

Definition at line 66 of file itkImageSource.txx.

References itk::ProcessObject::GetOutput().

Referenced by itk::LaplacianSegmentationLevelSetFunction< TImageType, TFeatureImageType >::CalculateSpeedImage(), itk::ImageSeriesReader< TOutputImage >::ComputeMovingDimensionIndex(), otb::ImageSeriesFileReader< Image< TPixel, 2 >, Image< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< Image< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), and main().

template<class TOutputImage >

ImageSource< TOutputImage >::OutputImageType * itk::ImageSource< TOutputImage >::GetOutput ( unsigned int idx )

inherited

Definition at line 85 of file itkImageSource.txx.

References itk::ProcessObject::GetOutput(), and NULL.

const DataObject * itk::ProcessObject::GetOutput ( unsigned int idx ) const

protectedinherited

Definition at line 454 of file itkProcessObject.cxx.

References NULL.

DataObjectPointerArray& itk::ProcessObject::GetOutputs ( )

inlineinherited

Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.

Definition at line 133 of file itkProcessObject.h.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

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

virtualinherited

Get the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution.

Referenced by itk::WatershedMiniPipelineProgressCommand::Execute(), otb::StreamingImageVirtualWriter< TInputImage >::ObserveSourceFilterProgress(), otb::ImageFileWriter< TInputImage >::ObserveSourceFilterProgress(), itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ReportProgress(), and itk::XMLFilterWatcher::ShowProgress().

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

inlinevirtualinherited

Gets the reference count on this object.

Definition at line 105 of file itkLightObject.h.

virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag ( )

virtualinherited

bool itk::ProcessObject::GetReleaseDataFlag ( ) const

virtualinherited

Definition at line 512 of file itkProcessObject.cxx.

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().

template<class TOutputImage >

void itk::ImageSource< TOutputImage >::GraftNthOutput	(	unsigned int	idx,
		DataObject *	output
	)

virtualinherited

Graft the specified data object onto this ProcessObject's idx'th output. This is similar to the GraftOutput method except it allows you to specify which output is affected. The specified index must be a valid output number (less than ProcessObject::GetNumberOfOutputs()). See the GraftOutput for general usage information.

Definition at line 113 of file itkImageSource.txx.

References itk::ProcessObject::GetOutput(), and itk::DataObject::Graft().

template<class TOutputImage >

void itk::ImageSource< TOutputImage >::GraftOutput ( DataObject * output )

virtualinherited

Graft the specified DataObject onto this ProcessObject's output. This method grabs a handle to the specified DataObject's bulk data to used as its output's own bulk data. It also copies the region ivars (RequestedRegion, BufferedRegion, LargestPossibleRegion) and meta-data (Spacing, Origin) from the specified data object into this filter's output data object. Most importantly, however, it leaves the Source ivar untouched so the original pipeline routing is intact. This method is used when a process object is implemented using a mini-pipeline which is defined in its GenerateData() method. The usage is:

// setup the mini-pipeline to process the input to this filter
firstFilterInMiniPipeline->SetInput( this->GetInput() );
// setup the mini-pipeline to calculate the correct regions
// and write to the appropriate bulk data block
lastFilterInMiniPipeline->GraftOutput( this->GetOutput() );
// execute the mini-pipeline
lastFilterInMiniPipeline->Update();
// graft the mini-pipeline output back onto this filter's output.
// this is needed to get the appropriate regions passed back.
this->GraftOutput( lastFilterInMiniPipeline->GetOutput() );

For proper pipeline execution, a filter using a mini-pipeline must implement the GenerateInputRequestedRegion(), GenerateOutputRequestedRegion(), GenerateOutputInformation() and EnlargeOutputRequestedRegion() methods as necessary to reflect how the mini-pipeline will execute (in other words, the outer filter's pipeline mechanism must be consistent with what the mini-pipeline will do).

Definition at line 101 of file itkImageSource.txx.

Referenced by otb::ImageSeriesFileReader< Image< TPixel, 2 >, Image< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< Image< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), and itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback().

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.

template<class TInputImage , class TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::Initialization ( )

Allocate the variate in terms of the number of Objects

Definition at line 118 of file itkVectorFuzzyConnectednessImageFilter.txx.

References MAX_SCALE.

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.

template<class TOutputImage >

ImageSource< TOutputImage >::DataObjectPointer itk::ImageSource< TOutputImage >::MakeOutput ( unsigned int idx )

virtualinherited

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a SmartPointer to a DataObject. If a subclass of ImageSource has multiple outputs of different types, then that class must provide an implementation of MakeOutput().

Reimplemented from itk::ProcessObject.

Definition at line 55 of file itkImageSource.txx.

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.

Definition at line 297 of file itkObject.cxx.

template<class TInputImage , class TOutputImage >

static Pointer itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::New ( )

static

Method for creation through the object factory.

template<class TInputImage , class TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::operator= ( const Self & )

private

template<class TInputImage , class TOutputImage >

void itk::ImageToImageFilter< TInputImage, TOutputImage >::PopBackInput ( )

virtualinherited

Model a stack on the input list by providing a pop back

Reimplemented from itk::ProcessObject.

Definition at line 193 of file itkImageToImageFilter.txx.

References itk::ProcessObject::PopBackInput().

template<class TInputImage , class TOutputImage >

void itk::ImageToImageFilter< TInputImage, TOutputImage >::PopFrontInput ( )

virtualinherited

Reimplemented from itk::ProcessObject.

Definition at line 211 of file itkImageToImageFilter.txx.

References itk::ProcessObject::PopFrontInput().

void itk::ProcessObject::PrepareOutputs ( )

virtualinherited

An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default.

Reimplemented in itk::WatershedImageFilter< TInputImage >, otb::WatershedImageFilter< TInputImage >, and otb::GeometriesSource.

Definition at line 864 of file itkProcessObject.cxx.

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 TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

protectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Chaining method to print an object's instance variables, as well as its superclasses.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 830 of file itkVectorFuzzyConnectednessImageFilter.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::ProcessObject::PropagateRequestedRegion ( DataObject * output )

virtualinherited

Send the requested region information back up the pipeline (to the filters that preceed this one).

check flag to avoid executing forever if there is a loop

Give the subclass a chance to indicate that it will provide more data then required for the output. This can happen, for example, when a source can only produce the whole output. Although this is being called for a specific output, the source may need to enlarge all outputs.

Give the subclass a chance to define how to set the requested regions for each of its outputs, given this output's requested region. The default implementation is to make all the output requested regions the same. A subclass may need to override this method if each output is a different resolution.

Give the subclass a chance to request a larger requested region on the inputs. This is necessary when, for example, a filter requires more data at the "internal" boundaries to produce the boundary values - such as an image filter that derives a new pixel value by applying some operation to a neighborhood of surrounding original values.

Now that we know the input requested region, propagate this through all the inputs.

Reimplemented in itk::VTKImageImport< TOutputImage >, and itk::StreamingImageFilter< TInputImage, TOutputImage >.

Definition at line 766 of file itkProcessObject.cxx.

void itk::ProcessObject::PropagateResetPipeline ( )

protectedvirtualinherited

Called to allocate the input array. Copies old inputs. Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.

Propagate the ResetPipeline call

Definition at line 631 of file itkProcessObject.cxx.

template<class TInputImage , class TOutputImage >

void itk::ImageToImageFilter< TInputImage, TOutputImage >::PushBackInput ( const InputImageType * image )

virtualinherited

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

Definition at line 184 of file itkImageToImageFilter.txx.

References itk::ProcessObject::PushBackInput().

template<class TInputImage, class TOutputImage>

void itk::ImageToImageFilter< TInputImage, TOutputImage >::PushBackInput ( const DataObject * input )

inlineprotectedvirtualinherited

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::ProcessObject.

Definition at line 248 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage >

void itk::ImageToImageFilter< TInputImage, TOutputImage >::PushFrontInput ( const InputImageType * image )

virtualinherited

Definition at line 202 of file itkImageToImageFilter.txx.

References itk::ProcessObject::PushFrontInput().

template<class TInputImage, class TOutputImage>

void itk::ImageToImageFilter< TInputImage, TOutputImage >::PushFrontInput ( const DataObject * input )

inlineprotectedvirtualinherited

Reimplemented from itk::ProcessObject.

Definition at line 250 of file itkImageToImageFilter.h.

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().

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff ( )

virtualinherited

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn ( )

virtualinherited

void itk::ProcessObject::ReleaseDataFlagOff ( )

inlineinherited

Definition at line 256 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn ( )

inlineinherited

Definition at line 255 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseInputs ( )

protectedvirtualinherited

A filter may need to release its input's bulk data after it has finished calculating a new output. The filter may need to release the inputs because the user has turned on the ReleaseDataFlag or it may need to release the inputs because the filter is an "in place" filter and it has overwritten its input with its output data. The implementation here simply checks the ReleaseDataFlag of the inputs. InPlaceImageFilter overrides this method so release the input it has overwritten.

See Also: InPlaceImageFilter::ReleaseInputs()

Definition at line 886 of file itkProcessObject.cxx.

Referenced by otb::LabelMapSVMClassifier< TInputLabelMap >::ReleaseInputs(), itk::InPlaceImageFilter< TInputImage, TOutputImage >::ReleaseInputs(), and itk::InPlaceLabelMapFilter< TInputImage >::ReleaseInputs().

void itk::Object::RemoveAllObservers ( )

inherited

Remove all observers .

Definition at line 435 of file itkObject.cxx.

void itk::ProcessObject::RemoveInput ( DataObject * input )

protectedvirtualinherited

Remove an input.

Removes the first occurence of the given OutputObject from the inputs to this ProcessObject. If it's the last object on the list, shortens the list.

Definition at line 173 of file itkProcessObject.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().

void itk::ProcessObject::RemoveOutput ( DataObject * output )

protectedvirtualinherited

Definition at line 294 of file itkProcessObject.cxx.

void itk::ProcessObject::ResetPipeline ( )

virtualinherited

Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.

Definition at line 621 of file itkProcessObject.cxx.

Referenced by itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback().

void itk::ProcessObject::RestoreInputReleaseDataFlags ( )

protectedvirtualinherited

Restore the cached input ReleaseDataFlags.

Definition at line 1075 of file itkProcessObject.cxx.

template<class TInputImage , class TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::ScalePrepare ( )

private

Definition at line 141 of file itkVectorFuzzyConnectednessImageFilter.txx.

References itk::ImageRegionConstIterator< TImage >::GoToBegin(), and MAX_SCALE.

virtual void itk::ProcessObject::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 TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetHomogeneityMatrix ( const DoubleMatrixType homo_max )

Setting the covariance matrix for specified object:

Definition at line 71 of file itkVectorFuzzyConnectednessImageFilter.txx.

References itk::Matrix< T, NRows, NColumns >::GetInverse().

template<class TInputImage , class TOutputImage >

void itk::ImageToImageFilter< TInputImage, TOutputImage >::SetInput ( const InputImageType * image )

virtualinherited

Set/Get the image input of this process object.

Reimplemented in otb::ConvexOrConcaveClassificationFilter< TInputImage, TOutputImage >, otb::WatershedImageFilter< TInputImage >, itk::WatershedImageFilter< TInputImage >, otb::ImageAndVectorImageOperationFilter< TInputImage, TVectorInputImage, TOutputImage >, itk::VoronoiSegmentationRGBImageFilter< TInputImage, TOutputImage >, otb::GeodesicMorphologyLevelingFilter< TInputImage, TInputMaps, TOutputImage >, and otb::ModulusAndDirectionImageToImageFilter< TInputImage, TInputImageDirection, TOutputImage >.

Definition at line 55 of file itkImageToImageFilter.txx.

References itk::ProcessObject::SetNthInput().

Referenced by itk::LaplacianSegmentationLevelSetFunction< TImageType, TFeatureImageType >::CalculateSpeedImage(), otb::ImageSeriesFileReader< Image< TPixel, 2 >, Image< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< Image< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), and otb::ROIdataConversion< TInputImage, TInputROIImage >::SetInputImage().

template<class TInputImage, class TOutputImage >

void itk::ImageToImageFilter< TInputImage, TOutputImage >::SetInput	(	unsigned int	index,
		const TInputImage *	image
	)

virtualinherited

Connect one of the operands for pixel-wise addition

Reimplemented in otb::WatershedImageFilter< TInputImage >, itk::WatershedImageFilter< TInputImage >, itk::VoronoiSegmentationRGBImageFilter< TInputImage, TOutputImage >, and otb::AngularProjectionImageFilter< TInputImage, TOutputImage, TAngleArray, TPrecision >.

Definition at line 69 of file itkImageToImageFilter.txx.

References itk::ProcessObject::SetNthInput().

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().

void itk::ProcessObject::SetNthInput	(	unsigned int	idx,
		DataObject *	input
	)

protectedvirtualinherited

Protected methods for setting inputs. Subclasses make use of them for setting input.

Set an Input of this filter. This method does Register()/UnRegister() manually to deal with the fact that smart pointers aren't around to do the reference counting.

Reimplemented in itk::ImageToVectorImageFilter< TInputImage >.

Definition at line 210 of file itkProcessObject.cxx.

void itk::ProcessObject::SetNthOutput	(	unsigned int	idx,
		DataObject *	output
	)

protectedvirtualinherited

Protected methods for setting outputs. Subclasses make use of them for getting output.

Set an output of this filter. This method specifically does not do a Register()/UnRegister() because of the desire to break the reference counting loop.

Definition at line 333 of file itkProcessObject.cxx.

References itk::DataObject::ConnectSource().

void itk::ProcessObject::SetNumberOfInputs ( unsigned int num )

protectedinherited

Called to allocate the input array. Copies old inputs.

Called by constructor to set up input array.

Definition at line 96 of file itkProcessObject.cxx.

Referenced by otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().

template<class TInputImage , class TOutputImage >

virtual void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetNumberOfObjects ( int _arg )

virtual

Set/Get the object number be segmented in the input image.

void itk::ProcessObject::SetNumberOfOutputs ( unsigned int num )

protectedinherited

Called to allocate the output array. Copies old outputs.

Called by constructor to set up output array.

Definition at line 424 of file itkProcessObject.cxx.

Referenced by otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::MeanShiftSmoothingImageFilter(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().

virtual void itk::ProcessObject::SetNumberOfRequiredInputs ( unsigned int _arg )

protectedvirtualinherited

Referenced by itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::FastMarchingImageFilter(), otb::FillGapsFilter::FillGapsFilter(), otb::ImageToLabelMapWithAttributesFilter< TInputImage, TLabeledImage, TLabel, TLabelObject >::ImageToLabelMapWithAttributesFilter(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >::PasteImageFilter(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().

virtual void itk::ProcessObject::SetNumberOfRequiredOutputs ( unsigned int _arg )

protectedvirtualinherited

Referenced by itk::AutomaticTopologyMeshSource< TOutputMesh >::AutomaticTopologyMeshSource(), itk::BalloonForceFilter< TInputMesh, TOutputMesh >::BalloonForceFilter(), itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >::CoreAtomImageToDistanceMatrixProcess(), itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >::CoreAtomImageToUnaryCorrespondenceMatrixProcess(), itk::DeformableMesh3DFilter< TInputMesh, TOutputMesh >::DeformableMesh3DFilter(), itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >::FastMarchingExtensionImageFilter(), otb::FillGapsFilter::FillGapsFilter(), otb::GeometriesSource::GeometriesSource(), itk::ImageSource< TOutputImage >::ImageSource(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::MedialNodePairCorrespondenceProcess< TSourceImage >::MedialNodePairCorrespondenceProcess(), itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >::MedialNodeTripletCorrespondenceProcess(), itk::MeshSource< TOutputMesh >::MeshSource(), itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >::MultiScaleHessianBasedMeasureImageFilter(), otb::OSMDataToVectorDataGenerator::OSMDataToVectorDataGenerator(), itk::PathSource< TOutputPath >::PathSource(), itk::RegularSphereMeshSource< TOutputMesh >::RegularSphereMeshSource(), otb::watershed::Relabeler< TScalarType, TImageDimension >::Relabeler(), itk::watershed::Relabeler< TScalarType, TImageDimension >::Relabeler(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::SimplexMeshAdaptTopologyFilter(), itk::SphereMeshSource< TOutputMesh >::SphereMeshSource(), itk::TriangleMeshToSimplexMeshFilter< TInputMesh, TOutputMesh >::TriangleMeshToSimplexMeshFilter(), itk::TwoOutputExampleImageFilter< TImage >::TwoOutputExampleImageFilter(), and itk::VTKPolyDataReader< TOutputMesh >::VTKPolyDataReader().

virtual void itk::ProcessObject::SetNumberOfThreads ( int _arg )

virtualinherited

Get/Set the number of threads to create when executing.

Referenced by itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::Compute2ndDerivative(), itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::Compute2ndDerivativePos(), and itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >::PrecalculateChange().

template<class TInputImage , class TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetObjectsMatrix	(	const DoubleMatrixType	object_max,
		const int	object_num
	)

Setting the covariance matrix for specified object:

Definition at line 83 of file itkVectorFuzzyConnectednessImageFilter.txx.

References itk::Matrix< T, NRows, NColumns >::GetInverse().

template<class TInputImage , class TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetObjectsMean	(	const DoubleVectorType	mean,
		const int	object_num
	)

Setting the seed points for specified object.

Definition at line 96 of file itkVectorFuzzyConnectednessImageFilter.txx.

template<class TInputImage , class TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetObjectsSeed	(	const IndexType &	seed,
		const int	object_num
	)

Setting the seed points for specified object.

Definition at line 107 of file itkVectorFuzzyConnectednessImageFilter.txx.

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

virtualinherited

Set the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution. The ProgressEvent is NOT invoked.

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.

virtual void itk::ProcessObject::SetReleaseDataBeforeUpdateFlag ( bool _arg )

virtualinherited

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

void itk::ProcessObject::SetReleaseDataFlag ( bool flag )

virtualinherited

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

Definition at line 528 of file itkProcessObject.cxx.

template<class TInputImage , class TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetSuppressBckgFlag ( const int flag )

inline

Setting the flag to suppress background.

Definition at line 240 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

void itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::SetThreshold ( const float threshold )

inline

Setting the threshold of strength of fuzzy connectedness if user selects absolute FC algorighm

Definition at line 248 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TOutputImage >

int itk::ImageSource< TOutputImage >::SplitRequestedRegion	(	int	i,
		int	num,
		OutputImageRegionType &	splitRegion
	)

protectedvirtualinherited

Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called "num" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "num".

Reimplemented in itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >.

Definition at line 138 of file itkImageSource.txx.

Referenced by itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage >::ApplyUpdateThreaderCallback(), itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage >::CalculateChangeThreaderCallback(), itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::Compute2ndDerivativePosThreaderCallback(), and itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::Compute2ndDerivativeThreaderCallback().

template<class TOutputImage >

void itk::ImageSource< TOutputImage >::ThreadedGenerateData	(	const OutputImageRegionType &	outputRegionForThread,
		int	threadId
	)

protectedvirtualinherited

If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).

See Also: GenerateData(), SplitRequestedRegion()

Definition at line 258 of file itkImageSource.txx.

template<class TOutputImage >

ITK_THREAD_RETURN_TYPE itk::ImageSource< TOutputImage >::ThreaderCallback ( void * arg )

staticprotectedinherited

Static function used as a "callback" by the MultiThreader. The threading library will call this routine for each thread, which will delegate the control to ThreadedGenerateData().

Definition at line 278 of file itkImageSource.txx.

References itk::ImageSource< TOutputImage >::ThreadStruct::Filter, and ITK_THREAD_RETURN_VALUE.

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().

void itk::ProcessObject::Update ( void )

virtualinherited

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

The following methods are used to coordinate the execution of the data processing pipeline.

Definition at line 611 of file itkProcessObject.cxx.

Referenced by otb::ImageSeriesFileReader< Image< TPixel, 2 >, Image< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< Image< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), itk::AutoCropLabelMapFilter< TInputImage >::GenerateOutputInformation(), itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >::GenerateOutputInformation(), and itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >::RunSegmentOneStep().

void itk::ProcessObject::UpdateLargestPossibleRegion ( )

virtualinherited

Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().

Definition at line 1120 of file itkProcessObject.cxx.

void itk::ProcessObject::UpdateOutputData ( DataObject * output )

virtualinherited

Actually generate new output

prevent chasing our tail

Prepare all the outputs. This may deallocate previous bulk data.

Propagate the update call - make sure everything we might rely on is up-to-date Must call PropagateRequestedRegion before UpdateOutputData if multiple inputs since they may lead back to the same data object.

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

Tell all Observers that the filter is starting

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

Count the number of required inputs which have been assigned

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

Notify end event observers

Now we have to mark the data as up to date.

Restore the state of any input ReleaseDataFlags

Release any inputs if marked for release

Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.

Definition at line 908 of file itkProcessObject.cxx.

void itk::ProcessObject::UpdateOutputInformation ( void )

virtualinherited

Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Watch out for loops in the pipeline

Since we are in a loop, we will want to update. But if we don't modify this filter, then we will not execute because our OutputInformationMTime will be more recent than the MTime of our output.

We now wish to set the PipelineMTime of each output DataObject to the largest of this ProcessObject's MTime, all input DataObject's PipelineMTime, and all input's MTime. We begin with the MTime of this ProcessObject.

Loop through the inputs

Propagate the UpdateOutputInformation call

What is the PipelineMTime of this input? Compare this against our current computation to find the largest one.

Pipeline MTime of the input does not include the MTime of the data object itself. Factor these mtimes into the next PipelineMTime

Call GenerateOutputInformation for subclass specific information. Since UpdateOutputInformation propagates all the way up the pipeline, we need to be careful here to call GenerateOutputInformation only if necessary. Otherwise, we may cause this source to be modified which will cause it to execute again on the next update.

Keep track of the last time GenerateOutputInformation() was called

Reimplemented in otb::watershed::Segmenter< TInputImage >, itk::watershed::Segmenter< TInputImage >, otb::watershed::Segmenter< InputImageType >, itk::watershed::Segmenter< InputImageType >, and itk::VTKImageImport< TOutputImage >.

Definition at line 664 of file itkProcessObject.cxx.

References itk::Object::GetMTime(), itk::DataObject::GetPipelineMTime(), itk::DataObject::SetPipelineMTime(), and itk::DataObject::UpdateOutputInformation().

Referenced by itk::VTKImageExportBase::UpdateInformationCallback().

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

inherited

Update the progress of the process object.

Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.

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

Definition at line 500 of file itkProcessObject.cxx.

Referenced by itk::WatershedMiniPipelineProgressCommand::Execute(), otb::otb_UpdateGDALProgress(), itk::ProgressReporter::ProgressReporter(), and itk::ProgressReporter::~ProgressReporter().

Member Data Documentation

template<class TInputImage , class TOutputImage >

const unsigned int itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::ImageDimension = TInputImage::ImageDimension

static

Definition at line 185 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage, class TOutputImage>

const unsigned int itk::ImageToImageFilter< TInputImage, TOutputImage >::InputImageDimension = TInputImage::ImageDimension

staticinherited

ImageDimension constants

Definition at line 90 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage >

AffinityImageType::Pointer itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_AffinityImage

private

Definition at line 286 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

std::vector<OffsetType> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_CirclePointsLoc

private

Definition at line 267 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

std::vector<int> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_CirclePointsNum

private

Definition at line 268 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

InputImageType::Pointer itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_FilterImage

private

Definition at line 284 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

UShortImageType::Pointer itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_FuzzyConnImage

private

Definition at line 287 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

DoubleMatrixType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_HomoCovariance

private

Definition at line 274 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

InputImageType::ConstPointer itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_InputImage

private

Definition at line 283 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

InputPixelType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_Mean

private

Definition at line 270 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

int itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_NumberOfObjects

private

Definition at line 276 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

DoubleMatrixArrayType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_ObjectCovariances

private

Definition at line 277 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

DoubleVectorArrayType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_ObjectMeans

private

Definition at line 278 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

ListSeedArrayType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_ObjectSeeds

private

Definition at line 279 of file itkVectorFuzzyConnectednessImageFilter.h.

TimeStamp itk::ProcessObject::m_OutputInformationMTime

protectedinherited

Time when GenerateOutputInformation was last called.

Definition at line 421 of file itkProcessObject.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 TOutputImage >

std::vector<char> itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_ScaleArray

private

Definition at line 281 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

OutputImageType::Pointer itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_SegmentObject

private

Definition at line 285 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

SizeType itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_Size

private

Definition at line 266 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

int itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_SuppressBckgFlag

private

Definition at line 271 of file itkVectorFuzzyConnectednessImageFilter.h.

template<class TInputImage , class TOutputImage >

float itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::m_Threshold

private

Definition at line 272 of file itkVectorFuzzyConnectednessImageFilter.h.

bool itk::ProcessObject::m_Updating

protectedinherited

These ivars are made protected so filters like itkStreamingImageFilter can access them directly. This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.

Definition at line 418 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage>

const unsigned int itk::ImageToImageFilter< TInputImage, TOutputImage >::OutputImageDimension = TOutputImage::ImageDimension

staticinherited

Definition at line 92 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage >

const unsigned int itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >::VectorDimension = InputPixelType::Dimension

static

Extract the image and vector dimension from the template parameters.

Definition at line 184 of file itkVectorFuzzyConnectednessImageFilter.h.

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

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Types

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Private Member Functions

Private Attributes

Detailed Description

template<class TInputImage, class TOutputImage> class itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

template<class TInputImage, class TOutputImage>
class itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >