Implements a generic moving histogram algorithm. More...

#include <itkMovingHistogramImageFilter.h>

Inheritance diagram for itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >:

Collaboration diagram for itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef DataObject::Pointer	DataObjectPointer
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef DataObjectPointerArray::size_type	DataObjectPointerArraySizeType
typedef FlatStructuringElement < itkGetStaticConstMacro(ImageDimension) >	FlatKernelType
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 KernelType::ConstIterator	KernelIteratorType
typedef TKernel	KernelType
typedef std::list< OffsetType >	OffsetListType
typedef std::map< OffsetType, OffsetListType, typename OffsetType::LexicographicCompare >	OffsetMapType
typedef TInputImage::OffsetType	OffsetType
typedef Superclass::OutputImagePixelType	OutputImagePixelType
typedef OutputImageType::Pointer	OutputImagePointer
typedef Superclass::OutputImageRegionType	OutputImageRegionType
typedef TOutputImage	OutputImageType
typedef TOutputImage::PixelType	OutputPixelType
typedef TInputImage::PixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef KernelType::SizeType	RadiusType
typedef TInputImage::RegionType	RegionType
typedef MovingHistogramImageFilter	Self
typedef TInputImage::SizeType	SizeType
typedef MovingHistogramImageFilterBase < TInputImage, TOutputImage, TKernel >	Superclass
Public Member Functions
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual LightObject::Pointer	CreateAnother () const
virtual void	DebugOff () const
virtual void	DebugOn () const
virtual void	Delete ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
void	GenerateInputRequestedRegion ()
virtual const bool &	GetAbortGenerateData ()
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
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 DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
virtual unsigned long	GetPixelsPerTranslation () const
virtual const float &	GetProgress ()
virtual const RadiusType &	GetRadius ()
virtual int	GetReferenceCount () const
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual DataObjectPointer	MakeOutput (unsigned int idx)
virtual void	Modified () const
virtual void	PrepareOutputs ()
void	Print (std::ostream &os, Indent indent=0) const
virtual void	PropagateRequestedRegion (DataObject *output)
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
virtual void	ResetPipeline ()
virtual void	SetAbortGenerateData (bool _arg)
void	SetDebug (bool debugFlag) const
void	SetKernel (const KernelType &kernel)
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetProgress (float _arg)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () const
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)


virtual const KernelType &	GetKernel ()


virtual void	SetRadius (const RadiusType &radius)
virtual void	SetRadius (const unsigned long &radius)


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


virtual void	PushBackInput (const InputImageType *image)
virtual void	PopBackInput ()
virtual void	PushFrontInput (const InputImageType *image)
virtual void	PopFrontInput ()


OutputImageType *	GetOutput (void)
OutputImageType *	GetOutput (unsigned int idx)


DataObjectPointerArray &	GetOutputs ()
DataObjectPointerArraySizeType	GetNumberOfOutputs () const


virtual void	SetReleaseDataFlag (bool flag)
virtual bool	GetReleaseDataFlag () const
void	ReleaseDataFlagOn ()
void	ReleaseDataFlagOff ()


virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool &	GetReleaseDataBeforeUpdateFlag ()
virtual void	ReleaseDataBeforeUpdateFlagOn ()
virtual void	ReleaseDataBeforeUpdateFlagOff ()


virtual void	SetNumberOfThreads (int _arg)
virtual const int &	GetNumberOfThreads ()


unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
Static Public Member Functions
static void	BreakOnError ()
static Pointer	New ()


static void	SetGlobalWarningDisplay (bool flag)
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOn ()
static void	GlobalWarningDisplayOff ()
Static Public Attributes
static const unsigned int	ImageDimension = TInputImage::ImageDimension


static const unsigned int	InputImageDimension = TInputImage::ImageDimension
static const unsigned int	OutputImageDimension = TOutputImage::ImageDimension
Protected Types
typedef THistogram	HistogramType
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)>	InputToOutputRegionCopierType
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)>	OutputToInputRegionCopierType


typedef int	InternalReferenceCountType
Protected Member Functions
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)
virtual void	GenerateData ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
void	GetDirAndOffset (const IndexType LineStart, const IndexType PrevLineStart, OffsetType &LineOffset, OffsetType &Changes, int &LineDirection)
	MovingHistogramImageFilter ()
virtual THistogram *	NewHistogram ()
void	PrintHistogram (const HistogramType &H)
bool	PrintObservers (std::ostream &os, Indent indent) const
void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	PropagateResetPipeline ()
void	PushHistogram (HistogramType histogram, const OffsetListType addedList, const OffsetListType removedList, const RegionType &inputRegion, const RegionType &kernRegion, const InputImageType inputImage, const IndexType currentIdx)
virtual void	ReleaseInputs ()
virtual void	RestoreInputReleaseDataFlags ()
void	SetNumberOfInputs (unsigned int num)
void	SetNumberOfOutputs (unsigned int num)
virtual int	SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)
void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)
	~MovingHistogramImageFilter ()


const DataObject *	GetInput (unsigned int idx) const


void	PushBackInput (const DataObject *input)
void	PushFrontInput (const DataObject *input)


const DataObject *	GetOutput (unsigned int idx) const


virtual void	SetNthInput (unsigned int num, DataObject *input)
virtual void	AddInput (DataObject *input)
virtual void	RemoveInput (DataObject *input)
virtual void	SetNumberOfRequiredInputs (unsigned int _arg)
virtual const unsigned int &	GetNumberOfRequiredInputs ()


virtual void	SetNthOutput (unsigned int num, DataObject *output)
virtual void	AddOutput (DataObject *output)
virtual void	RemoveOutput (DataObject *output)
virtual void	SetNumberOfRequiredOutputs (unsigned int _arg)
virtual const unsigned int &	GetNumberOfRequiredOutputs ()


virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
Static Protected Member Functions
static ITK_THREAD_RETURN_TYPE	ThreaderCallback (void *arg)
Protected Attributes
OffsetMapType	m_AddedOffsets
FixedArray< int, itkGetStaticConstMacro(ImageDimension) >	m_Axes
KernelType	m_Kernel
OffsetListType	m_KernelOffsets
TimeStamp	m_OutputInformationMTime
unsigned long	m_PixelsPerTranslation
InternalReferenceCountType	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
OffsetMapType	m_RemovedOffsets
bool	m_Updating

Detailed Description

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>
class itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >

Implements a generic moving histogram algorithm.

This filter is a base class to implement efficiently many neighborhood filters. Instead of visiting all the neighbors of a pixel, the set of pixels in the neighborhood is updated when the filter is moving to a new pixel. The number of pixels read for each pixel can be very smaller than the number of pixels read by a basic algorithm.

This filter moves the neighborhood over all the pixels of the output requested region, and pass the pixel added and removed of the neighborhood to the an histogram class. This filter doesn't implement the histogram class - it must be implement and passed as template parameter. The histogram class is not necessary a real histogram. It can be implemented in many ways, and only has to provide the methods described below.

This filter takes 4 template parameters: the input and output image type, the structuring element (or kernel) type, and the histogram type. The input and output image must have the same number of dimension.

The histogram type is a class which has to implements seven methods: + a default constructor which takes no parameter. + HistogramType * Clone() must produce a new identical histogram. It is used internally to optimize the filter, by avoiding reverse iteration over the image. + void AddPixel( const InputPixelType &p ) is called when a new pixel is added to the histogram. + void RemovePixel( const InputPixelType &p ) is called when a pixel is removed of the histogram. + void AddBoundary() is called when a pixel outside the image is added. No value is provided: it's the responsability to the histogram class to get it if needed. This method can be kept empty to ignore the boundary pixels. + void RemoveBoundary() is called to when a pixel outside the image is removed. No value is provided: it's the responsability to the histogram class to get it if needed. This method can be kept empty to ignore the boundary pixels. + AType GetValue() is called to set the value of the output image. AType must be the output pixel type, or a type castable to the output pixel type.

MovingHistogramImageFilter add the new pixels before removing the old ones, so, if AddBoundary() is implemented and/or the kernel is symetric, it is safe to consider that the histogram will never be empty.

One histogram is created for each thread by the method NewHistogram(). The NewHistogram() method can be overiden to pass some parameters to the histogram.

The neighborhood is defined by a structuring element, and must a itk::Neighborhood object or a subclass. The structuring element is assumed to be composed of binary values (zero or one). Only elements of the structuring element having values > 0 are candidates for affecting the center pixel.

See also:: MovingWindowMeanImageFilter, RankImageFilter, MaskedMovingHistogramImageFitler,; MovingHistogramMorphologicalGradientImageFilter

Author:: Gaetan Lehmann; Richard Beare

Definition at line 90 of file itkMovingHistogramImageFilter.h.

Member Typedef Documentation

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef SmartPointer<const Self> itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::ConstPointer

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 98 of file itkMovingHistogramImageFilter.h.

template<class TOutputImage>

typedef DataObject::Pointer itk::ImageSource< TOutputImage >::DataObjectPointer [inherited]

Smart Pointer type to a DataObject.

Reimplemented from itk::ProcessObject.

Reimplemented in itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::StreamingImageFilter< TInputImage, TOutputImage >, itk::LabelGeometryImageFilter< TLabelImage, TIntensityImage >, and itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >.

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 , class TKernel >

typedef FlatStructuringElement< itkGetStaticConstMacro(ImageDimension) > itk::KernelImageFilter< TInputImage, TOutputImage, TKernel >::FlatKernelType [inherited]

Kernel type used to create box kernel, in SetRadius() method

Definition at line 78 of file itkKernelImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef THistogram itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::HistogramType [protected]

Reimplemented in itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, and itk::RankImageFilter< TInputImage, TOutputImage, TKernel >.

Definition at line 153 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef TInputImage::IndexType itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::IndexType

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 112 of file itkMovingHistogramImageFilter.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, class TKernel, class THistogram>

typedef TInputImage itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::InputImageType

Image related typedefs.

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 105 of file itkMovingHistogramImageFilter.h.

template<class TInputImage , class TOutputImage , class TKernel >

typedef TInputImage::PixelType itk::KernelImageFilter< TInputImage, TOutputImage, TKernel >::InputPixelType [inherited]

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

Reimplemented in itk::BinaryMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::MaskedRankImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, and itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, MaskedRankHistogram< TInputImage::PixelType > >.

Definition at line 65 of file itkKernelImageFilter.h.

template<class TInputImage, class TOutputImage>

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

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

Definition at line 164 of file itkImageToImageFilter.h.

typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

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

Definition at line 139 of file itkLightObject.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef KernelType::ConstIterator itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::KernelIteratorType

Kernel (structuring element) iterator.

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 126 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef TKernel itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::KernelType

Kernel typedef.

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 123 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef std::list< OffsetType > itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::OffsetListType

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 131 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef std::map< OffsetType, OffsetListType, typename OffsetType::LexicographicCompare > itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::OffsetMapType

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 133 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef TInputImage::OffsetType itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::OffsetType

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 114 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage>

typedef Superclass::OutputImagePixelType itk::ImageToImageFilter< TInputImage, TOutputImage >::OutputImagePixelType [inherited]

Reimplemented from itk::ImageSource< TOutputImage >.

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, class TKernel, class THistogram>

typedef Superclass::OutputImageRegionType itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::OutputImageRegionType

Superclass typedefs.

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 115 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef TOutputImage itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::OutputImageType

Some convenient typedefs.

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 109 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef TOutputImage::PixelType itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::OutputPixelType

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 116 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage>

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

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

Definition at line 169 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef TInputImage::PixelType itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::PixelType

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 113 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef SmartPointer<Self> itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::Pointer

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 97 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef KernelType::SizeType itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::RadiusType

n-dimensional Kernel radius.

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 129 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef TInputImage::RegionType itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::RegionType

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 110 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef MovingHistogramImageFilter itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::Self

Standard class typedefs.

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 95 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef TInputImage::SizeType itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::SizeType

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 111 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

typedef MovingHistogramImageFilterBase<TInputImage, TOutputImage, TKernel> itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::Superclass

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 96 of file itkMovingHistogramImageFilter.h.

Constructor & Destructor Documentation

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::MovingHistogramImageFilter ( ) [protected]

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::~MovingHistogramImageFilter ( ) [inline, protected]

Definition at line 137 of file itkMovingHistogramImageFilter.h.

Member Function Documentation

virtual void itk::ProcessObject::AbortGenerateDataOff ( ) [virtual, inherited]

virtual void itk::ProcessObject::AbortGenerateDataOn ( ) [virtual, inherited]

Turn on and off the AbortGenerateData flag.

virtual void itk::ProcessObject::AddInput ( DataObject * input ) [protected, virtual, inherited]

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

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

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

virtual void itk::ProcessObject::AddOutput ( DataObject * output ) [protected, virtual, inherited]

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

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::AfterThreadedGenerateData ( void ) [inline, protected, virtual, inherited]

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 265 of file itkImageSource.h.

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::AllocateOutputs ( ) [protected, virtual, inherited]

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.

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::BeforeThreadedGenerateData ( void ) [inline, protected, virtual, inherited]

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 253 of file itkImageSource.h.

static void itk::LightObject::BreakOnError ( ) [static, inherited]

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

virtual void itk::ProcessObject::CacheInputReleaseDataFlags ( ) [protected, virtual, inherited]

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().

template<class TInputImage, class TOutputImage>

virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::CallCopyInputRegionToOutputRegion	(	OutputImageRegionType &	destRegion,
		const InputImageRegionType &	srcRegion
	)			`[protected, virtual, inherited]`

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.

template<class TInputImage, class TOutputImage>

virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::CallCopyOutputRegionToInputRegion	(	InputImageRegionType &	destRegion,
		const OutputImageRegionType &	srcRegion
	)			`[protected, virtual, inherited]`

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).

virtual LightObject::Pointer itk::Object::CreateAnother ( ) const [virtual, inherited]

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::LightObject.

virtual void itk::Object::DebugOff ( ) const [virtual, inherited]

Turn debugging output off.

virtual void itk::Object::DebugOn ( ) const [virtual, inherited]

Turn debugging output on.

virtual void itk::LightObject::Delete ( ) [virtual, inherited]

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.

virtual void itk::ProcessObject::EnlargeOutputRequestedRegion ( DataObject * ) [inline, virtual, inherited]

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 225 of file itkProcessObject.h.

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::GenerateData ( ) [protected, virtual, inherited]

A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.

See also:: ThreadedGenerateData()

Reimplemented from itk::ProcessObject.

template<class TInputImage, class TOutputImage>

void itk::BoxImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion ( ) [virtual, inherited]

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::ImageToImageFilter< TInputImage, TOutputImage >.

virtual void itk::ProcessObject::GenerateOutputInformation ( ) [protected, virtual, inherited]

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.

virtual void itk::ProcessObject::GenerateOutputRequestedRegion ( DataObject * output ) [protected, virtual, inherited]

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.

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

virtual const bool& itk::ProcessObject::GetAbortGenerateData ( ) [virtual, inherited]

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

Command* itk::Object::GetCommand ( unsigned long tag ) [inherited]

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

bool itk::Object::GetDebug ( ) const [inherited]

Get the value of the debug flag.

template<class TInputImage , class TOutputImage , class TKernel >

void itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >::GetDirAndOffset	(	const IndexType	LineStart,
		const IndexType	PrevLineStart,
		OffsetType &	LineOffset,
		OffsetType &	Changes,
		int &	LineDirection
	)			`[protected, inherited]`

static bool itk::Object::GetGlobalWarningDisplay ( ) [static, inherited]

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

template<class TInputImage, class TOutputImage>

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

Set/Get the image input of this process object.

Reimplemented from itk::ProcessObject.

template<class TInputImage, class TOutputImage>

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

Set/Get the image input of this process object.

const DataObject* itk::ProcessObject::GetInput ( unsigned int idx ) const [protected, inherited]

Method used internally for getting an input.

Reimplemented in itk::MeshToMeshFilter< TInputMesh, TOutputMesh >, and itk::MeshToMeshFilter< TInput, TOutput >.

DataObjectPointerArray& itk::ProcessObject::GetInputs ( ) [inline, inherited]

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.

template<class TInputImage , class TOutputImage , class TKernel >

virtual const KernelType& itk::KernelImageFilter< TInputImage, TOutputImage, TKernel >::GetKernel ( ) [virtual, inherited]

Set kernel (structuring element).

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void ) [inherited]

Returns:: A reference to this objects MetaDataDictionary.

Warning:: This reference may be changed.

const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void ) const [inherited]

Returns:: A constant reference to this objects MetaDataDictionary.

virtual unsigned long itk::Object::GetMTime ( ) const [virtual, inherited]

Return this objects modified time.

Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().

MultiThreader* itk::ProcessObject::GetMultiThreader ( ) [inline, inherited]

Return the multithreader used by this class.

Definition at line 284 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

virtual const char* itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::GetNameOfClass ( ) const [virtual]

Runtime information support.

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfInputs ( ) const [inline, inherited]

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.

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs ( ) const [inline, inherited]

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 135 of file itkProcessObject.h.

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs ( ) [protected, virtual, inherited]

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

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs ( ) [protected, virtual, inherited]

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

virtual const int& itk::ProcessObject::GetNumberOfThreads ( ) [virtual, inherited]

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

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

virtual DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfValidRequiredInputs ( ) const [virtual, inherited]

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.

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

template<class 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.

template<class TOutputImage>

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

Reimplemented from itk::ProcessObject.

const DataObject* itk::ProcessObject::GetOutput ( unsigned int idx ) const [protected, inherited]

Method used internally for getting an output.

DataObjectPointerArray& itk::ProcessObject::GetOutputs ( ) [inline, inherited]

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.

template<class TInputImage , class TOutputImage , class TKernel >

virtual unsigned long itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >::GetPixelsPerTranslation ( ) const [virtual, inherited]

virtual const float& itk::ProcessObject::GetProgress ( ) [virtual, inherited]

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::XMLFilterWatcher::ShowProgress().

template<class TInputImage, class TOutputImage>

virtual const RadiusType& itk::BoxImageFilter< TInputImage, TOutputImage >::GetRadius ( ) [virtual, inherited]

virtual int itk::LightObject::GetReferenceCount ( ) const [inline, virtual, inherited]

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag ( ) [virtual, inherited]

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.

virtual bool itk::ProcessObject::GetReleaseDataFlag ( ) const [virtual, inherited]

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.

static void itk::Object::GlobalWarningDisplayOff ( ) [inline, static, inherited]

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

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn ( ) [inline, static, inherited]

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

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::GraftNthOutput	(	unsigned int	idx,
		DataObject *	output
	)			`[virtual, inherited]`

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.

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::GraftOutput ( DataObject * output ) [virtual, inherited]

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).

bool itk::Object::HasObserver ( const EventObject & event ) const [inherited]

Return true if an observer is registered for this event.

void itk::Object::InvokeEvent ( const EventObject & ) [inherited]

Call Execute on all the Commands observing this event id.

void itk::Object::InvokeEvent ( const EventObject & ) const [inherited]

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

template<class TOutputImage>

virtual DataObjectPointer itk::ImageSource< TOutputImage >::MakeOutput ( unsigned int idx ) [virtual, inherited]

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.

Reimplemented in itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, and itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, MaskedRankHistogram< TInputImage::PixelType > >.

virtual void itk::Object::Modified ( ) const [virtual, inherited]

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

Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

static Pointer itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::New ( ) [static]

Standard New method.

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

virtual THistogram* itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::NewHistogram ( ) [protected, virtual]

NewHistogram must return an histogram object. It's also the good place to pass parameters to the histogram. A default version is provided which just create a new Historgram and return it.

Reimplemented in itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

template<class TInputImage, class TOutputImage>

virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::PopBackInput ( ) [virtual, inherited]

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.

Reimplemented from itk::ProcessObject.

template<class TInputImage, class TOutputImage>

virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::PopFrontInput ( ) [virtual, inherited]

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.

Reimplemented from itk::ProcessObject.

virtual void itk::ProcessObject::PrepareOutputs ( ) [virtual, inherited]

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 >.

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

Cause the object to print itself out.

Referenced by itk::WeakPointer< ProcessObject >::Print().

virtual void itk::LightObject::PrintHeader	(	std::ostream &	os,
		Indent	indent
	)			const `[protected, virtual, inherited]`

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.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

void itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::PrintHistogram ( const HistogramType & H ) [protected]

bool itk::Object::PrintObservers	(	std::ostream &	os,
		Indent	indent
	)			const `[protected, inherited]`

template<class TInputImage , class TOutputImage , class TKernel >

void itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)			const `[protected, virtual, inherited]`

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.

Reimplemented from itk::KernelImageFilter< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::MaskedRankImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, MaskedRankHistogram< TInputImage::PixelType > >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

virtual void itk::LightObject::PrintTrailer	(	std::ostream &	os,
		Indent	indent
	)			const `[protected, virtual, inherited]`

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.

virtual void itk::ProcessObject::PropagateRequestedRegion ( DataObject * output ) [virtual, inherited]

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

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

virtual void itk::ProcessObject::PropagateResetPipeline ( ) [protected, virtual, inherited]

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

template<class TInputImage, class TOutputImage>

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

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.

template<class TInputImage, class TOutputImage>

void itk::ImageToImageFilter< TInputImage, TOutputImage >::PushBackInput ( const DataObject * input ) [inline, protected, virtual, inherited]

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 251 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage>

void itk::ImageToImageFilter< TInputImage, TOutputImage >::PushFrontInput ( const DataObject * input ) [inline, protected, virtual, inherited]

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 253 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage>

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

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.

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

void itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::PushHistogram	(	HistogramType *	histogram,
		const OffsetListType *	addedList,
		const OffsetListType *	removedList,
		const RegionType &	inputRegion,
		const RegionType &	kernRegion,
		const InputImageType *	inputImage,
		const IndexType	currentIdx
	)			`[protected]`

virtual void itk::Object::Register ( ) const [virtual, inherited]

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

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff ( ) [virtual, inherited]

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.

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn ( ) [virtual, inherited]

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::ReleaseDataFlagOff ( ) [inline, inherited]

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 257 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn ( ) [inline, inherited]

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 256 of file itkProcessObject.h.

virtual void itk::ProcessObject::ReleaseInputs ( ) [protected, virtual, inherited]

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()

void itk::Object::RemoveAllObservers ( ) [inherited]

Remove all observers .

virtual void itk::ProcessObject::RemoveInput ( DataObject * input ) [protected, virtual, inherited]

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

void itk::Object::RemoveObserver ( unsigned long tag ) [inherited]

Remove the observer with this tag value.

virtual void itk::ProcessObject::RemoveOutput ( DataObject * output ) [protected, virtual, inherited]

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

virtual void itk::ProcessObject::ResetPipeline ( ) [virtual, inherited]

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.

virtual void itk::ProcessObject::RestoreInputReleaseDataFlags ( ) [protected, virtual, inherited]

Restore the cached input ReleaseDataFlags.

virtual void itk::ProcessObject::SetAbortGenerateData ( bool _arg ) [virtual, inherited]

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.

static void itk::Object::SetGlobalWarningDisplay ( bool flag ) [static, inherited]

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

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

template<class TInputImage, class TOutputImage>

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

Set/Get the image input of this process object.

template<class TInputImage, class TOutputImage>

virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::SetInput	(	unsigned	int,
		const TInputImage *	image
	)			`[virtual, inherited]`

Set/Get the image input of this process object.

Reimplemented in itk::WatershedImageFilter< TInputImage >.

template<class TInputImage , class TOutputImage , class TKernel >

void itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >::SetKernel ( const KernelType & kernel ) [virtual, inherited]

Set kernel (structuring element).

Reimplemented from itk::KernelImageFilter< TInputImage, TOutputImage, TKernel >.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary & rhs ) [inherited]

Returns:: Set the MetaDataDictionary

virtual void itk::ProcessObject::SetNthInput	(	unsigned int	num,
		DataObject *	input
	)			`[protected, virtual, inherited]`

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

Reimplemented in itk::ImageToVectorImageFilter< TInputImage >.

Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryA(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryB(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetEquivalencyTable(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureImage(), itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetFeatureImage(), itk::WatershedImageFilter< TInputImage >::SetInput(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputEquivalencyTable(), itk::watershed::Segmenter< InputImageType >::SetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetInputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputSegmentTree(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::SetReferenceImage(), and itk::ChangeInformationImageFilter< TInputImage >::SetReferenceImage().

virtual void itk::ProcessObject::SetNthOutput	(	unsigned int	num,
		DataObject *	output
	)			`[protected, virtual, inherited]`

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

Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::BoundaryResolver(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::EquivalenceRelabeler(), itk::watershed::Segmenter< InputImageType >::SetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetEquivalencyTable(), itk::watershed::Segmenter< InputImageType >::SetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetOutputImage(), and itk::watershed::Segmenter< InputImageType >::SetSegmentTable().

void itk::ProcessObject::SetNumberOfInputs ( unsigned int num ) [protected, inherited]

Called to allocate the input array. Copies old inputs.

void itk::ProcessObject::SetNumberOfOutputs ( unsigned int num ) [protected, inherited]

Called to allocate the output array. Copies old outputs.

virtual void itk::ProcessObject::SetNumberOfRequiredInputs ( unsigned int _arg ) [protected, virtual, inherited]

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

virtual void itk::ProcessObject::SetNumberOfRequiredOutputs ( unsigned int _arg ) [protected, virtual, inherited]

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

virtual void itk::ProcessObject::SetNumberOfThreads ( int _arg ) [virtual, inherited]

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

virtual void itk::ProcessObject::SetProgress ( float _arg ) [virtual, inherited]

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.

template<class TInputImage , class TOutputImage , class TKernel >

virtual void itk::KernelImageFilter< TInputImage, TOutputImage, TKernel >::SetRadius ( const unsigned long & radius ) [inline, virtual, inherited]

Set the kernel to a box kernel of given radius.

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

Definition at line 90 of file itkKernelImageFilter.h.

template<class TInputImage , class TOutputImage , class TKernel >

virtual void itk::KernelImageFilter< TInputImage, TOutputImage, TKernel >::SetRadius ( const RadiusType & radius ) [virtual, inherited]

Set the kernel to a box kernel of given radius.

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

virtual void itk::Object::SetReferenceCount ( int ) [virtual, inherited]

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::SetReleaseDataBeforeUpdateFlag ( bool _arg ) [virtual, inherited]

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.

virtual void itk::ProcessObject::SetReleaseDataFlag ( bool flag ) [virtual, inherited]

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.

template<class TOutputImage>

virtual int itk::ImageSource< TOutputImage >::SplitRequestedRegion	(	int	i,
		int	num,
		OutputImageRegionType &	splitRegion
	)			`[protected, virtual, inherited]`

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".

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

void itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::ThreadedGenerateData	(	const OutputImageRegionType &	outputRegionForThread,
		int	threadId
	)			`[protected, virtual]`

Multi-thread version GenerateData.

Reimplemented from itk::ImageSource< TOutputImage >.

template<class TOutputImage>

static ITK_THREAD_RETURN_TYPE itk::ImageSource< TOutputImage >::ThreaderCallback ( void * arg ) [static, protected, inherited]

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().

virtual void itk::Object::UnRegister ( ) const [virtual, inherited]

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::Update ( ) [virtual, inherited]

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.

Reimplemented in itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, itk::ImageFileWriter< TInputImage >, and itk::ImageSeriesWriter< TInputImage, TOutputImage >.

virtual void itk::ProcessObject::UpdateLargestPossibleRegion ( ) [virtual, inherited]

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().

virtual void itk::ProcessObject::UpdateOutputData ( DataObject * output ) [virtual, inherited]

Actually generate new output

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

virtual void itk::ProcessObject::UpdateOutputInformation ( ) [virtual, inherited]

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.

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

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.

Member Data Documentation

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>

const unsigned int itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >::ImageDimension = TInputImage::ImageDimension [static]

Image related typedefs.

Reimplemented from itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >.

Reimplemented in itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, and itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >.

Definition at line 120 of file itkMovingHistogramImageFilter.h.

template<class TInputImage, class TOutputImage>

const unsigned int itk::ImageToImageFilter< TInputImage, TOutputImage >::InputImageDimension = TInputImage::ImageDimension [static, inherited]

ImageDimension constants

Definition at line 90 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage , class TKernel >

OffsetMapType itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >::m_AddedOffsets [protected, inherited]

Definition at line 154 of file itkMovingHistogramImageFilterBase.h.

template<class TInputImage , class TOutputImage , class TKernel >

FixedArray< int, itkGetStaticConstMacro(ImageDimension) > itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >::m_Axes [protected, inherited]

Definition at line 160 of file itkMovingHistogramImageFilterBase.h.

template<class TInputImage , class TOutputImage , class TKernel >

KernelType itk::KernelImageFilter< TInputImage, TOutputImage, TKernel >::m_Kernel [protected, inherited]

kernel or structuring element to use.

Definition at line 104 of file itkKernelImageFilter.h.

template<class TInputImage , class TOutputImage , class TKernel >

OffsetListType itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >::m_KernelOffsets [protected, inherited]

Definition at line 158 of file itkMovingHistogramImageFilterBase.h.

TimeStamp itk::ProcessObject::m_OutputInformationMTime [protected, inherited]

Time when GenerateOutputInformation was last called.

Definition at line 431 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage , class TKernel >

unsigned long itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >::m_PixelsPerTranslation [protected, inherited]

Definition at line 162 of file itkMovingHistogramImageFilterBase.h.

InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited]

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited]

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

template<class TInputImage , class TOutputImage , class TKernel >

OffsetMapType itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >::m_RemovedOffsets [protected, inherited]

Definition at line 155 of file itkMovingHistogramImageFilterBase.h.

bool itk::ProcessObject::m_Updating [protected, inherited]

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 428 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage>

const unsigned int itk::ImageToImageFilter< TInputImage, TOutputImage >::OutputImageDimension = TOutputImage::ImageDimension [static, inherited]

ImageDimension constants

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 92 of file itkImageToImageFilter.h.

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

itkMovingHistogramImageFilter.h

itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram > Class Template Reference [Image Enhancement Filters, Mathematical Morphology Image Filters]

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Types

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Detailed Description

template<class TInputImage, class TOutputImage, class TKernel, class THistogram> class itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram > Class Template Reference
[Image Enhancement Filters, Mathematical Morphology Image Filters]

template<class TInputImage, class TOutputImage, class TKernel, class THistogram>
class itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >