#include <itkBinaryImageToStatisticsLabelMapFilter.h>

Detailed Description

template<typename TInputImage, typename TFeatureImage, typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>
class itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >

a convenient class to convert a binary image to a label map and valuate the statistics attributes at once

Author: Gaetan Lehmann. Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France.

This implementation was taken from the Insight Journal paper: https://www.insight-journal.org/browse/publication/176

See also: StatisticsLabelObject, LabelStatisticsOpeningImageFilter, BinaryStatisticsOpeningImageFilter

Definition at line 43 of file itkBinaryImageToStatisticsLabelMapFilter.h.

Inheritance diagram for itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >:

Collaboration diagram for itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >:

Public Types
using	ConstPointer = SmartPointer< const Self >

using	FeatureImageConstPointer = typename FeatureImageType::ConstPointer

using	FeatureImagePixelType = typename FeatureImageType::PixelType

using	FeatureImagePointer = typename FeatureImageType::Pointer

using	FeatureImageType = TFeatureImage

using	InputImageConstPointer = typename InputImageType::ConstPointer

using	InputImagePixelType = typename InputImageType::PixelType

using	InputImagePointer = typename InputImageType::Pointer

using	InputImageRegionType = typename InputImageType::RegionType

using	InputImageType = TInputImage

using	LabelizerType = BinaryImageToLabelMapFilter< InputImageType, OutputImageType >

using	LabelObjectType = typename OutputImageType::LabelObjectType

using	LabelObjectValuatorType = StatisticsLabelMapFilter< OutputImageType, FeatureImageType >

using	OutputImageConstPointer = typename OutputImageType::ConstPointer

using	OutputImagePixelType = typename OutputImageType::PixelType

using	OutputImagePointer = typename OutputImageType::Pointer

using	OutputImageRegionType = typename OutputImageType::RegionType

using	OutputImageType = TOutputImage

using	Pointer = SmartPointer< Self >

using	Self = BinaryImageToStatisticsLabelMapFilter

using	Superclass = ImageToImageFilter< TInputImage, TOutputImage >

Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using	ConstPointer = SmartPointer< const Self >

using	InputImageConstPointer = typename InputImageType::ConstPointer

using	InputImagePixelType = typename InputImageType::PixelType

using	InputImagePointer = typename InputImageType::Pointer

using	InputImageRegionType = typename InputImageType::RegionType

using	InputImageType = TInputImage

using	Pointer = SmartPointer< Self >

using	Self = ImageToImageFilter

using	Superclass = ImageSource< TOutputImage >

Public Types inherited from itk::ImageSource< TOutputImage >
using	ConstPointer = SmartPointer< const Self >

using	DataObjectIdentifierType = Superclass::DataObjectIdentifierType

using	DataObjectPointer = DataObject::Pointer

using	DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType

using	OutputImagePixelType = typename OutputImageType::PixelType

using	OutputImagePointer = typename OutputImageType::Pointer

using	OutputImageRegionType = typename OutputImageType::RegionType

using	OutputImageType = TOutputImage

using	Pointer = SmartPointer< Self >

using	Self = ImageSource

using	Superclass = ProcessObject

Public Types inherited from itk::ProcessObject
using	ConstPointer = SmartPointer< const Self >

using	DataObjectIdentifierType = DataObject::DataObjectIdentifierType

using	DataObjectPointer = DataObject::Pointer

using	DataObjectPointerArray = std::vector< DataObjectPointer >

using	DataObjectPointerArraySizeType = DataObjectPointerArray::size_type

using	MultiThreaderType = MultiThreaderBase

using	NameArray = std::vector< DataObjectIdentifierType >

using	Pointer = SmartPointer< Self >

using	Self = ProcessObject

using	Superclass = Object

Public Types inherited from itk::Object
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = Object

using	Superclass = LightObject

Public Types inherited from itk::LightObject
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = LightObject

Public Member Functions
const FeatureImageType *	GetFeatureImage ()

virtual const char *	GetNameOfClass () const

void	SetFeatureImage (const TFeatureImage *input)

void	SetInput1 (const InputImageType *input)

void	SetInput2 (const FeatureImageType *input)


virtual void	SetFullyConnected (bool _arg)

virtual const bool &	GetFullyConnected () const

virtual void	FullyConnectedOn ()


virtual void	SetOutputBackgroundValue (OutputImagePixelType _arg)

virtual OutputImagePixelType	GetOutputBackgroundValue () const


virtual void	SetInputForegroundValue (InputImagePixelType _arg)

virtual InputImagePixelType	GetInputForegroundValue () const


virtual void	SetComputeFeretDiameter (bool _arg)

virtual const bool &	GetComputeFeretDiameter () const

virtual void	ComputeFeretDiameterOn ()


virtual void	SetComputePerimeter (bool _arg)

virtual const bool &	GetComputePerimeter () const

virtual void	ComputePerimeterOn ()


virtual void	SetComputeHistogram (bool _arg)

virtual const bool &	GetComputeHistogram () const

virtual void	ComputeHistogramOn ()


virtual void	SetNumberOfBins (unsigned int _arg)

virtual const unsigned int &	GetNumberOfBins () const

Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
const InputImageType *	GetInput () const

const InputImageType *	GetInput (unsigned int idx) const

void	PopBackInput () override

void	PopFrontInput () override

virtual void	PushBackInput (const InputImageType *input)

virtual void	PushFrontInput (const InputImageType *input)

virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)

virtual void	SetInput (const InputImageType *input)

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

virtual void	SetCoordinateTolerance (double _arg)

virtual double	GetCoordinateTolerance () const

virtual void	SetDirectionTolerance (double _arg)

virtual double	GetDirectionTolerance () const

Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageType *	GetOutput (unsigned int idx)

OutputImageType *	GetOutput ()

const OutputImageType *	GetOutput () const

virtual void	GraftOutput (DataObject *graft)

virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *graft)

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

ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override

ProcessObject::DataObjectPointer	MakeOutput (const ProcessObject::DataObjectIdentifierType &) override

Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOn ()

virtual const bool &	GetAbortGenerateData () const

DataObjectPointerArray	GetIndexedInputs ()

DataObjectPointerArray	GetIndexedOutputs ()

NameArray	GetInputNames () const

DataObjectPointerArray	GetInputs ()

MultiThreaderType *	GetMultiThreader () const

DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const

DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const

DataObjectPointerArraySizeType	GetNumberOfInputs () const

DataObjectPointerArraySizeType	GetNumberOfOutputs () const

virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const

NameArray	GetOutputNames () const

DataObjectPointerArray	GetOutputs ()

virtual float	GetProgress () const

NameArray	GetRequiredInputNames () const

bool	HasInput (const DataObjectIdentifierType &key) const

bool	HasOutput (const DataObjectIdentifierType &key) const

void	IncrementProgress (float increment)

virtual void	PrepareOutputs ()

virtual void	PropagateRequestedRegion (DataObject *output)

virtual void	ResetPipeline ()

virtual void	SetAbortGenerateData (bool _arg)

void	SetMultiThreader (MultiThreaderType *threader)

virtual void	Update ()

virtual void	UpdateLargestPossibleRegion ()

virtual void	UpdateOutputData (DataObject *output)

virtual void	UpdateOutputInformation ()

void	UpdateProgress (float progress)

virtual void	SetReleaseDataFlag (bool val)

virtual bool	GetReleaseDataFlag () const

void	ReleaseDataFlagOn ()

void	ReleaseDataFlagOff ()

virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)

virtual const bool &	GetReleaseDataBeforeUpdateFlag () const

virtual void	ReleaseDataBeforeUpdateFlagOn ()

virtual void	SetNumberOfWorkUnits (ThreadIdType _arg)

virtual const ThreadIdType &	GetNumberOfWorkUnits () const

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)

unsigned long	AddObserver (const EventObject &event, Command *) const

unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const

LightObject::Pointer	CreateAnother () const override

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () const

virtual ModifiedTimeType	GetMTime () const

virtual const TimeStamp &	GetTimeStamp () const

bool	HasObserver (const EventObject &event) const

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual void	Modified () const

void	Register () const override

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetReferenceCount (int) override

void	UnRegister () const noexcept override

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

void	SetMetaDataDictionary (MetaDataDictionary &&rrhs)

virtual void	SetObjectName (std::string _arg)

virtual const std::string &	GetObjectName () const

Public Member Functions inherited from itk::LightObject
Pointer	Clone () const

virtual void	Delete ()

virtual int	GetReferenceCount () const

	itkTypeMacroNoParent (LightObject)

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

Static Public Member Functions
static Pointer	New ()

Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static double	GetGlobalDefaultCoordinateTolerance ()

static double	GetGlobalDefaultDirectionTolerance ()

static void	SetGlobalDefaultCoordinateTolerance (double)

static void	SetGlobalDefaultDirectionTolerance (double)

Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool val)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

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

static constexpr unsigned int	InputImageDimension = TInputImage::ImageDimension

static constexpr unsigned int	OutputImageDimension = TInputImage::ImageDimension

Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static constexpr unsigned int	InputImageDimension = TInputImage::ImageDimension

static constexpr unsigned int	OutputImageDimension = TOutputImage::ImageDimension

Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static constexpr unsigned int	OutputImageDimension = TOutputImage::ImageDimension

Protected Member Functions
	BinaryImageToStatisticsLabelMapFilter ()

void	EnlargeOutputRequestedRegion (DataObject *) override

void	GenerateData () override

void	GenerateInputRequestedRegion () override

void	PrintSelf (std::ostream &os, Indent indent) const override

	~BinaryImageToStatisticsLabelMapFilter () override=default

Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)

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

	ImageToImageFilter ()

void	VerifyInputInformation () ITKv5_CONST override

	~ImageToImageFilter () override=default

void	PushBackInput (const DataObject *input) override

void	PushFrontInput (const DataObject *input) override

Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void	AfterThreadedGenerateData ()

virtual void	AllocateOutputs ()

virtual void	BeforeThreadedGenerateData ()

void	ClassicMultiThread (ThreadFunctionType callbackFunction)

virtual const ImageRegionSplitterBase *	GetImageRegionSplitter () const

	ImageSource ()

virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)

	~ImageSource () override=default

virtual void	ThreadedGenerateData (const OutputImageRegionType &region, ThreadIdType threadId)

virtual void	DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)

virtual bool	GetDynamicMultiThreading () const

virtual void	SetDynamicMultiThreading (bool _arg)

virtual void	DynamicMultiThreadingOn ()

Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)

void	AddOptionalInputName (const DataObjectIdentifierType &)

void	AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

virtual void	AddOutput (DataObject *output)

bool	AddRequiredInputName (const DataObjectIdentifierType &)

bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

virtual void	CacheInputReleaseDataFlags ()

virtual void	GenerateOutputInformation ()

virtual void	GenerateOutputRequestedRegion (DataObject *output)

DataObject *	GetInput (const DataObjectIdentifierType &key)

const DataObject *	GetInput (const DataObjectIdentifierType &key) const

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const

bool	IsIndexedInputName (const DataObjectIdentifierType &) const

bool	IsIndexedOutputName (const DataObjectIdentifierType &) const

bool	IsRequiredInputName (const DataObjectIdentifierType &) const

DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const

DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const

DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const

DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const

	ProcessObject ()

virtual void	PropagateResetPipeline ()

virtual void	ReleaseInputs ()

virtual void	RemoveInput (const DataObjectIdentifierType &key)

virtual void	RemoveInput (DataObjectPointerArraySizeType)

virtual void	RemoveOutput (const DataObjectIdentifierType &key)

virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)

bool	RemoveRequiredInputName (const DataObjectIdentifierType &)

virtual void	RestoreInputReleaseDataFlags ()

virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)

virtual void	SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)

virtual void	SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)

void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)

void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)

virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)

virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)

virtual void	SetOutput (const DataObjectIdentifierType &name, DataObject *output)

virtual void	SetPrimaryInput (DataObject *object)

virtual void	SetPrimaryOutput (DataObject *object)

void	SetRequiredInputNames (const NameArray &)

virtual void	VerifyPreconditions () ITKv5_CONST

	~ProcessObject () override

DataObject *	GetInput (DataObjectPointerArraySizeType idx)

const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const

DataObject *	GetPrimaryInput ()

const DataObject *	GetPrimaryInput () const

virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryInputName () const

DataObject *	GetOutput (const DataObjectIdentifierType &key)

const DataObject *	GetOutput (const DataObjectIdentifierType &key) const

virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryOutputName () const

DataObject *	GetOutput (DataObjectPointerArraySizeType i)

const DataObject *	GetOutput (DataObjectPointerArraySizeType i) const

DataObject *	GetPrimaryOutput ()

const DataObject *	GetPrimaryOutput () const

virtual bool	GetThreaderUpdateProgress () const

virtual void	ThreaderUpdateProgressOn ()

virtual void	SetThreaderUpdateProgress (bool arg)

Protected Member Functions inherited from itk::Object
	Object ()

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

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

	~Object () override

Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const

	LightObject ()

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

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

virtual	~LightObject ()

Private Attributes
bool	m_ComputeFeretDiameter {}

bool	m_ComputeHistogram {}

bool	m_ComputePerimeter {}

bool	m_FullyConnected {}

InputImagePixelType	m_InputForegroundValue {}

unsigned int	m_NumberOfBins {}

OutputImagePixelType	m_OutputBackgroundValue {}

Additional Inherited Members
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using	InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension >

using	OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension >

Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static const ImageRegionSplitterBase *	GetGlobalDefaultSplitter ()

static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	ThreaderCallback (void *arg)

Static Protected Member Functions inherited from itk::ProcessObject
static constexpr float	progressFixedToFloat (uint32_t fixed)

static uint32_t	progressFloatToFixed (float f)

Protected Attributes inherited from itk::ImageSource< TOutputImage >
bool	m_DynamicMultiThreading {}

Protected Attributes inherited from itk::ProcessObject
TimeStamp	m_OutputInformationMTime {}

bool	m_Updating {}

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount {}

Member Typedef Documentation

◆ ConstPointer

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ConstPointer = SmartPointer<const Self>

Definition at line 52 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ FeatureImageConstPointer

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FeatureImageConstPointer = typename FeatureImageType::ConstPointer

Definition at line 70 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ FeatureImagePixelType

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FeatureImagePixelType = typename FeatureImageType::PixelType

Definition at line 71 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ FeatureImagePointer

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FeatureImagePointer = typename FeatureImageType::Pointer

Definition at line 69 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ FeatureImageType

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FeatureImageType = TFeatureImage

Definition at line 68 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ InputImageConstPointer

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImageConstPointer = typename InputImageType::ConstPointer

Definition at line 57 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ InputImagePixelType

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImagePixelType = typename InputImageType::PixelType

Definition at line 59 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ InputImagePointer

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImagePointer = typename InputImageType::Pointer

Definition at line 56 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ InputImageRegionType

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImageRegionType = typename InputImageType::RegionType

Definition at line 58 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ InputImageType

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImageType = TInputImage

Some convenient type alias.

Definition at line 55 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ LabelizerType

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::LabelizerType = BinaryImageToLabelMapFilter<InputImageType, OutputImageType>

Definition at line 78 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ LabelObjectType

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::LabelObjectType = typename OutputImageType::LabelObjectType

Definition at line 66 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ LabelObjectValuatorType

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::LabelObjectValuatorType = StatisticsLabelMapFilter<OutputImageType, FeatureImageType>

Definition at line 79 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ OutputImageConstPointer

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImageConstPointer = typename OutputImageType::ConstPointer

Definition at line 63 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ OutputImagePixelType

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImagePixelType = typename OutputImageType::PixelType

Definition at line 65 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ OutputImagePointer

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImagePointer = typename OutputImageType::Pointer

Definition at line 62 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ OutputImageRegionType

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImageRegionType = typename OutputImageType::RegionType

Definition at line 64 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ OutputImageType

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImageType = TOutputImage

Definition at line 61 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ Pointer

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::Pointer = SmartPointer<Self>

Definition at line 51 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ Self

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::Self = BinaryImageToStatisticsLabelMapFilter

Standard class type aliases.

Definition at line 49 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ Superclass

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::Superclass = ImageToImageFilter<TInputImage, TOutputImage>

Definition at line 50 of file itkBinaryImageToStatisticsLabelMapFilter.h.

Constructor & Destructor Documentation

◆ BinaryImageToStatisticsLabelMapFilter()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::BinaryImageToStatisticsLabelMapFilter ( )

protected

◆ ~BinaryImageToStatisticsLabelMapFilter()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::~BinaryImageToStatisticsLabelMapFilter ( )

overrideprotecteddefault

Member Function Documentation

◆ ComputeFeretDiameterOn()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ComputeFeretDiameterOn ( )

virtual

Set/Get whether the maximum Feret diameter should be computed or not. The default value is false, because of the high computation time required.

◆ ComputeHistogramOn()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ComputeHistogramOn ( )

virtual

Set/Get whether the histogram should be attached to the label object or not. This option defaults to true, but because the histogram may take a lot of memory compared to the other attributes, this option is useful to reduce the memory usage when the histogram is not required.

◆ ComputePerimeterOn()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ComputePerimeterOn ( )

virtual

Set/Get whether the perimeter should be computed or not. The default value is false, because of the high computation time required.

◆ EnlargeOutputRequestedRegion()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::EnlargeOutputRequestedRegion ( DataObject * )

overrideprotectedvirtual

BinaryImageToStatisticsLabelMapFilter will produce the entire output.

Reimplemented from itk::ProcessObject.

◆ FullyConnectedOn()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FullyConnectedOn ( )

virtual

Set/Get whether the connected components are defined strictly by face connectivity or by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that are 1 pixel wide, use FullyConnectedOn.

◆ GenerateData()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GenerateData ( )

overrideprotectedvirtual

Single-threaded version of GenerateData. This filter delegates to GrayscaleGeodesicErodeImageFilter.

Reimplemented from itk::ImageSource< TOutputImage >.

◆ GenerateInputRequestedRegion()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GenerateInputRequestedRegion ( )

overrideprotectedvirtual

BinaryImageToStatisticsLabelMapFilter needs the entire input be available. Thus, it needs to provide an implementation of GenerateInputRequestedRegion().

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

◆ GetComputeFeretDiameter()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual const bool& itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetComputeFeretDiameter ( ) const

virtual

Set/Get whether the maximum Feret diameter should be computed or not. The default value is false, because of the high computation time required.

◆ GetComputeHistogram()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual const bool& itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetComputeHistogram ( ) const

virtual

Set/Get whether the histogram should be attached to the label object or not. This option defaults to true, but because the histogram may take a lot of memory compared to the other attributes, this option is useful to reduce the memory usage when the histogram is not required.

◆ GetComputePerimeter()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual const bool& itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetComputePerimeter ( ) const

virtual

Set/Get whether the perimeter should be computed or not. The default value is false, because of the high computation time required.

◆ GetFeatureImage()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

const FeatureImageType* itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetFeatureImage ( )

inline

Get the feature image

Definition at line 150 of file itkBinaryImageToStatisticsLabelMapFilter.h.

References itk::ProcessObject::GetInput().

◆ GetFullyConnected()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual const bool& itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetFullyConnected ( ) const

virtual

Set/Get whether the connected components are defined strictly by face connectivity or by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that are 1 pixel wide, use FullyConnectedOn.

◆ GetInputForegroundValue()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual InputImagePixelType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetInputForegroundValue ( ) const

virtual

Set/Get the value used as "foreground" in the output image. Defaults to NumericTraits<PixelType>::max().

◆ GetNameOfClass()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

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

virtual

Runtime information support.

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

◆ GetNumberOfBins()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual const unsigned int& itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetNumberOfBins ( ) const

virtual

Set/Get the number of bins in the histogram. Note that the histogram is used to compute the median value, and that this option may have an effect on the value of the median.

◆ GetOutputBackgroundValue()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual OutputImagePixelType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetOutputBackgroundValue ( ) const

virtual

Set/Get the value used as "background" in the output image. Defaults to NumericTraits<PixelType>::NonpositiveMin().

◆ New()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

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

static

Standard New method.

◆ PrintSelf()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

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

overrideprotectedvirtual

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::ImageToImageFilter< TInputImage, TOutputImage >.

◆ SetComputeFeretDiameter()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetComputeFeretDiameter ( bool _arg )

virtual

Set/Get whether the maximum Feret diameter should be computed or not. The default value is false, because of the high computation time required.

◆ SetComputeHistogram()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetComputeHistogram ( bool _arg )

virtual

Set/Get whether the histogram should be attached to the label object or not. This option defaults to true, but because the histogram may take a lot of memory compared to the other attributes, this option is useful to reduce the memory usage when the histogram is not required.

◆ SetComputePerimeter()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetComputePerimeter ( bool _arg )

virtual

Set/Get whether the perimeter should be computed or not. The default value is false, because of the high computation time required.

◆ SetFeatureImage()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetFeatureImage ( const TFeatureImage * input )

inline

Set the feature image

Definition at line 142 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ SetFullyConnected()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetFullyConnected ( bool _arg )

virtual

Set/Get whether the connected components are defined strictly by face connectivity or by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that are 1 pixel wide, use FullyConnectedOn.

◆ SetInput1()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetInput1 ( const InputImageType * input )

inline

Set the input image

Definition at line 157 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ SetInput2()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetInput2 ( const FeatureImageType * input )

inline

Set the feature image

Definition at line 164 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ SetInputForegroundValue()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetInputForegroundValue ( InputImagePixelType _arg )

virtual

Set/Get the value used as "foreground" in the output image. Defaults to NumericTraits<PixelType>::max().

◆ SetNumberOfBins()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetNumberOfBins ( unsigned int _arg )

virtual

Set/Get the number of bins in the histogram. Note that the histogram is used to compute the median value, and that this option may have an effect on the value of the median.

◆ SetOutputBackgroundValue()

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetOutputBackgroundValue ( OutputImagePixelType _arg )

virtual

Set/Get the value used as "background" in the output image. Defaults to NumericTraits<PixelType>::NonpositiveMin().

Member Data Documentation

◆ ImageDimension

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

constexpr unsigned int itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ImageDimension = TInputImage::ImageDimension

staticconstexpr

Definition at line 76 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ InputImageDimension

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

constexpr unsigned int itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImageDimension = TInputImage::ImageDimension

staticconstexpr

ImageDimension constants

Definition at line 74 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ m_ComputeFeretDiameter

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

bool itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_ComputeFeretDiameter {}

private

Definition at line 214 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ m_ComputeHistogram

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

bool itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_ComputeHistogram {}

private

Definition at line 217 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ m_ComputePerimeter

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

bool itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_ComputePerimeter {}

private

Definition at line 215 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ m_FullyConnected

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

bool itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_FullyConnected {}

private

Definition at line 211 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ m_InputForegroundValue

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

InputImagePixelType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_InputForegroundValue {}

private

Definition at line 213 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ m_NumberOfBins

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

unsigned int itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_NumberOfBins {}

private

Definition at line 216 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ m_OutputBackgroundValue

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

OutputImagePixelType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_OutputBackgroundValue {}

private

Definition at line 212 of file itkBinaryImageToStatisticsLabelMapFilter.h.

◆ OutputImageDimension

template<typename TInputImage , typename TFeatureImage , typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>

constexpr unsigned int itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImageDimension = TInputImage::ImageDimension

staticconstexpr

Definition at line 75 of file itkBinaryImageToStatisticsLabelMapFilter.h.

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

itkBinaryImageToStatisticsLabelMapFilter.h

Detailed Description

template<typename TInputImage, typename TFeatureImage, typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>> class itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ ConstPointer

◆ FeatureImageConstPointer

◆ FeatureImagePixelType

◆ FeatureImagePointer

◆ FeatureImageType

◆ InputImageConstPointer

◆ InputImagePixelType

◆ InputImagePointer

◆ InputImageRegionType

◆ InputImageType

◆ LabelizerType

◆ LabelObjectType

◆ LabelObjectValuatorType

◆ OutputImageConstPointer

◆ OutputImagePixelType

◆ OutputImagePointer

◆ OutputImageRegionType

◆ OutputImageType

◆ Pointer

◆ Self

◆ Superclass

Constructor & Destructor Documentation

◆ BinaryImageToStatisticsLabelMapFilter()

◆ ~BinaryImageToStatisticsLabelMapFilter()

Member Function Documentation

◆ ComputeFeretDiameterOn()

◆ ComputeHistogramOn()

◆ ComputePerimeterOn()

◆ EnlargeOutputRequestedRegion()

◆ FullyConnectedOn()

◆ GenerateData()

◆ GenerateInputRequestedRegion()

◆ GetComputeFeretDiameter()

◆ GetComputeHistogram()

◆ GetComputePerimeter()

◆ GetFeatureImage()

◆ GetFullyConnected()

◆ GetInputForegroundValue()

◆ GetNameOfClass()

◆ GetNumberOfBins()

◆ GetOutputBackgroundValue()

◆ New()

◆ PrintSelf()

◆ SetComputeFeretDiameter()

◆ SetComputeHistogram()

◆ SetComputePerimeter()

◆ SetFeatureImage()

◆ SetFullyConnected()

◆ SetInput1()

◆ SetInput2()

◆ SetInputForegroundValue()

◆ SetNumberOfBins()

◆ SetOutputBackgroundValue()

Member Data Documentation

◆ ImageDimension

◆ InputImageDimension

◆ m_ComputeFeretDiameter

◆ m_ComputeHistogram

◆ m_ComputePerimeter

◆ m_FullyConnected

◆ m_InputForegroundValue

◆ m_NumberOfBins

◆ m_OutputBackgroundValue

◆ OutputImageDimension

template<typename TInputImage, typename TFeatureImage, typename TOutputImage = LabelMap<StatisticsLabelObject<SizeValueType, TInputImage::ImageDimension>>>
class itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >