#include <itkKLMRegionGrowImageFilter.h>

Detailed Description

template<typename TInputImage, typename TOutputImage>
class itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >

Base class for a region growing object that performs energy-based region growing for multiband images.

itkKLMRegionGrowImageFilter is the base class for the KLMRegionGrowImageFilter objects. This object performs energy-based region growing for multiband images. Since this is based on G. Koepfler,C. Lopez and J. M. Morel's work described below, the acronym KLM is added at the end of the object name.

The ApplyRegionGrowImageFilter() function implements the segmentation algorithm that partitions the input image into non-overlapping regions by minimizing an energy functional which trades off the similarity of regions against the length of their shared boundary. The heart of the process relies on the MergeRegion() method that calls a private function to perform the merging of region based on the piecewise constant KLM algorithm for region merging. For extensibility purposes, the MergeRegion() function is made virtual. Extensions can be made possible using function overloading or overriding the virtual function in a derived class. It starts by breaking the image into many small regions and fitting the regions to a polynomial model. The algorithm iteratively merges into one region the two adjoining regions which are most alike in terms of the specified polynomial model given the length of the border between the two regions. Internally, the energy functional is evaluated using a Lagrangian parameter called lambda which is also called the scale parameter as it controls the coarseness of the segmentation where a small value of lambda corresponds to a finer segmentation with more regions and a large value corresponds to a coarse segmentation with fewer regions. Since the algorithm grows regions by merging like regions, the internal value of lambda increases as the number of regions decreases.

The user can stop the merging of regions using the SetMaximumNumberOfRegions() and SetMaximumLambda() functions. The SetMaximumNumberOfRegions() function is publicly inherited from its base class and internally sets the m_MaximumNumberOfRegions parameter. The SetMaximumLambda() function sets the m_MaximumLambda parameter. If the number of regions in the image is equal to m_MaximumNumberOfRegions or if the internal energy functional becomes greater than m_MaximumLambda, then the merging iterations will stop. Note that a larger energy function value for m_MaximumLambda will result in fewer boundaries and fewer regions, while a smaller value for m_MaximumLambda will result in more boundaries and more regions. To have m_MaximumNumberOfRegions control exactly the number of output regions, m_MaximumLambda should be set to a very large number. To have m_MaximumLambda control exactly the number of output regions, m_MaximumNumberOfRegions should be set to 2. As a default value, m_MaximumLambda is set to 1000 and m_MaximumNumberOfRegions is set to 2.

Currently implementation puts equal weight to the multichannel values. In future improvements we plan to allow the user to control the weights associated with each individual channels.

It is templated over the type of input and output image. This object supports data handling of multiband images. The object accepts images in vector format, where each pixel is a vector and each element of the vector corresponds to an entry from 1 particular band of a multiband dataset. We expect the user to provide the input to the routine in vector format. A single band image is treated as a vector image with a single element for every vector.

This algorithm implementation takes a multiband image stored in vector format as input and produces two outputs. Using the ImageToImageFilter, the piecewise constant approximation image is the output calculated using the process update mechanism. The second output, i.e., the image with the region labels (segmentation image) is returned at users request by calling GetLabelledImage() function. This function returns a reference to the labelled image determined using the KLM algorithm. The algorithm supports 2D and 3D data sets only. The input image dimensions must be exact multiples of the user specified grid sizes. Appropriate padding must be performed by the user if any image which are not multiples of the grid sizes are used.

For more information about the algorithm, see G. Koepfler, C. Lopez and J. M. Morel, `‘A Multiscale Algorithm for Image Segmentation by Variational Method,’' {SIAM Journal of Numerical Analysis}, vol. 31, pp. 282-299, 1994.

Algorithm details:

This function segments a two-dimensional input image into non-overlapping atomic regions \( O_i, i=1,2,\ldots,N \), where \( N \) is the total number of region, by minimizing the following energy functional (also known as the simplified Mumford and Shah functional): \( E(u,K)=\int_{\Omega-K}||u(r,c)-g(r,c)||^2{d{\Omega}}+\lambda\cdot{L(K)} \), where \( \Omega \) denotes the domain of an image, \( g(r,c) \) is the input image, and \( u(r,c) \) is an approximation of \( g(r,c) \). Furthermore, \( u(r,c) \) is defined to be piecewise constant in regions \( O_i \). If \( \partial O_i \) represents the boundary of the region, \( K=\bigcup_{i=1}^N\partial{O_i} \) denotes the set of all region boundaries and \( L(K) \) is the total length of the boundaries. The parameter \( \lambda \) controls the coarseness of the segmentation (i.e. a larger \( \lambda \) will result in fewer boundaries).

Starting with small, piecewise-constant initial regions the algorithm iteratively merges the two adjacent regions \( O_i \) and \( O_j \) which most decrease the energy functional. In other words, the merging criterion is based on the difference between the current energy \( E(u,K) \) and the energy that would result after a merge, \( E(\hat{u},K-\partial(O_i,O_j)) \), where \( \hat{u} \) is the piecewise constant approximation of the input image \( g \), and \( \partial(O_i,O_j) \) is the common boundary between region \( O_i \) and \( O_j \). It can be shown that \( E(u,K)-E(\hat{u},K-\partial(O_i,O_j))= \lambda\cdot{L(\partial(O_i,O_j))}- {\frac{(|O_i| \cdot |O_j|)}{(|O_i|+|O_j|)}} \|c_i-c_j\|^2 \).

Once two regions are merged the following update equations are used to calculated the constant approximation of the new region:

\( c_{i,j} = \frac{(c_i |O_i| + c_j |O_j|)}{(|O_i| + |O_j|)} \).

Again, the merging of regions continues until the desired number of regions has been reached or until the desired coarseness (specified by the scale parameter \( \lambda \)) has been reached.

The two outputs are possible to derive from the object: (1) u, the piecewise constant approximation (mean of the regions) to the input image set; This is currently generated by the process object pipeline and the (2) the labelled regions in the input image set is generated by the GetLabelledImage() function.

Definition at line 167 of file itkKLMRegionGrowImageFilter.h.

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

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

Public Types
using	BorderType = KLMSegmentationBorder

using	ConstPointer = SmartPointer< const Self >

using	InputImageConstIterator = ImageRegionConstIterator< TInputImage >

using	InputImageConstPointer = typename TInputImage::ConstPointer

using	InputImageIndexType = typename TInputImage::IndexType

using	InputImageIterator = ImageRegionIterator< TInputImage >

using	InputImagePixelType = typename TInputImage::PixelType

using	InputImagePointer = typename TInputImage::Pointer

using	InputImageType = TInputImage

using	InputImageVectorType = typename TInputImage::PixelType::VectorType

using	InputRegionType = typename TInputImage::RegionType

using	KLMSegmentationBorderArrayPtr = KLMDynamicBorderArray< BorderType >

using	LabelImageIndexType = typename LabelImageType::IndexType

using	LabelImageIterator = ImageRegionIterator< LabelImageType >

using	LabelImagePixelType = typename LabelImageType::PixelType

using	LabelImagePointer = typename LabelImageType::Pointer

using	LabelImageType = Image< RegionLabelType, Self::LabelImageDimension >

using	MeanRegionIntensityType = vnl_vector< double >

using	OutputImageIndexType = typename TOutputImage::IndexType

using	OutputImageIterator = ImageRegionIterator< TOutputImage >

using	OutputImagePixelType = typename TOutputImage::PixelType

using	OutputImagePointer = typename TOutputImage::Pointer

using	OutputImageType = TOutputImage

using	OutputImageVectorType = typename TOutputImage::PixelType::VectorType

using	Pointer = SmartPointer< Self >

using	RegionLabelType = typename KLMSegmentationRegion::RegionLabelType

using	Self = KLMRegionGrowImageFilter

using	Superclass = RegionGrowImageFilter< TInputImage, TOutputImage >

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

using	GridSizeType = typename TInputImage::SizeType

using	InputImageConstPointer = typename TInputImage::ConstPointer

using	InputImagePixelType = typename TInputImage::PixelType

using	InputImagePointer = typename TInputImage::Pointer

using	InputImageType = TInputImage

using	OutputImagePixelType = typename TOutputImage::PixelType

using	OutputImagePointer = typename TOutputImage::Pointer

using	OutputImageType = TOutputImage

using	Pointer = SmartPointer< Self >

using	Self = RegionGrowImageFilter

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
LabelImagePointer	GetLabelledImage ()

const char *	GetNameOfClass () const override

void	PrintAlgorithmBorderStats ()

void	PrintAlgorithmRegionStats ()


virtual void	SetMaximumLambda (double _arg)

virtual const double &	GetMaximumLambda () const


virtual void	SetNumberOfRegions (unsigned int _arg)

virtual const unsigned int &	GetNumberOfRegions () const

Public Member Functions inherited from itk::RegionGrowImageFilter< TInputImage, TOutputImage >
virtual void	ApplyRegionGrowImageFilter ()=0

const char *	GetNameOfClass () const override

virtual void	MergeRegions ()=0

virtual void	SetGridSize (GridSizeType _arg)

virtual const GridSizeType &	GetGridSize () const

virtual void	SetMaximumNumberOfRegions (unsigned int _arg)

virtual const unsigned int &	GetMaximumNumberOfRegions () const

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

const InputImageType *	GetInput (unsigned int idx) const

const char *	GetNameOfClass () const override

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 >
const char *	GetNameOfClass () const override

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 void	EnlargeOutputRequestedRegion (DataObject *)

virtual const bool &	GetAbortGenerateData () const

DataObjectPointerArray	GetIndexedInputs ()

DataObjectPointerArray	GetIndexedOutputs ()

NameArray	GetInputNames () const

DataObjectPointerArray	GetInputs ()

MultiThreaderType *	GetMultiThreader () const

const char *	GetNameOfClass () const override

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 DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)

virtual DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType idx)

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 *cmd) 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

const char *	GetNameOfClass () const override

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) const

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 Pointer	CreateAnother () const

virtual void	Delete ()

virtual const char *	GetNameOfClass () const

virtual int	GetReferenceCount () const

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

virtual void	Register () const

virtual void	SetReferenceCount (int)

virtual void	UnRegister () const noexcept

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	InputImageDimension = TInputImage::ImageDimension

static constexpr unsigned int	InputImageVectorDimension = InputImagePixelType::Dimension

static constexpr RegionLabelType	LabelImageDimension = InputImageDimension

static constexpr unsigned int	OutputImageDimension = TOutputImage::ImageDimension

static constexpr unsigned int	OutputImageVectorDimension = OutputImagePixelType::Dimension

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
void	ApplyKLM ()

void	ApplyRegionGrowImageFilter () override

void	EnlargeOutputRequestedRegion (DataObject *) override

void	GenerateData () override

void	GenerateInputRequestedRegion () override

LabelImagePointer	GenerateLabelledImage (LabelImageType *labelImagePtr)

virtual void	GenerateOutputImage ()

void	InitializeKLM ()

virtual void	InitializeRegionParameters (InputRegionType region)

	KLMRegionGrowImageFilter ()

void	MergeRegions () override

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

virtual void	ResolveRegions ()

	~KLMRegionGrowImageFilter () override=default

Protected Member Functions inherited from itk::RegionGrowImageFilter< TInputImage, TOutputImage >
void	PrintSelf (std::ostream &os, Indent indent) const override

	RegionGrowImageFilter ()

	~RegionGrowImageFilter () 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)

void	GenerateInputRequestedRegion () override

	ImageToImageFilter ()

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

void	VerifyInputInformation () const override

	~ImageToImageFilter () override=default

virtual void	PushBackInput (const DataObject *input)

virtual void	PushFrontInput (const DataObject *input)

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

virtual void	AllocateOutputs ()

virtual void	BeforeThreadedGenerateData ()

void	ClassicMultiThread (ThreadFunctionType callbackFunction)

void	GenerateData () override

virtual const ImageRegionSplitterBase *	GetImageRegionSplitter () const

	ImageSource ()

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

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	GenerateData ()

virtual void	GenerateInputRequestedRegion ()

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

virtual void	PopBackInput ()

virtual void	PopFrontInput ()

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

	ProcessObject ()

virtual void	PropagateResetPipeline ()

virtual void	PushBackInput (const DataObject *input)

virtual void	PushFrontInput (const DataObject *input)

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	VerifyInputInformation () const

virtual void	VerifyPreconditions () 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

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

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

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

virtual	~LightObject ()

Private Types
using	InputImageSizeType = typename TInputImage::SizeType

using	KLMSegmentationBorderPtr = typename KLMSegmentationBorder::Pointer

using	KLMSegmentationRegionPtr = typename KLMSegmentationRegion::Pointer

Private Attributes
KLMSegmentationBorderArrayPtr *	m_BorderCandidate { nullptr }

std::vector< KLMSegmentationBorderArrayPtr >	m_BordersDynamicPointer {}

std::vector< KLMSegmentationBorderPtr >	m_BordersPointer {}

unsigned int	m_InitialNumberOfRegions { 0 }

double	m_InitialRegionArea { 0 }

MeanRegionIntensityType	m_InitialRegionMean {}

double	m_InternalLambda { 0 }

double	m_MaximumLambda { 1000 }

unsigned int	m_NumberOfRegions { 0 }

std::vector< KLMSegmentationRegionPtr >	m_RegionsPointer {}

double	m_TotalBorderLength { 0.0 }

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
template<typename TSourceObject >
static void	MakeRequiredOutputs (TSourceObject &sourceObject, const DataObjectPointerArraySizeType numberOfRequiredOutputs)

static constexpr float	progressFixedToFloat (uint32_t fixed)

static uint32_t	progressFloatToFixed (float f)

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

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

◆ BorderType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::BorderType = KLMSegmentationBorder

Type definition for the smart border type.

Definition at line 262 of file itkKLMRegionGrowImageFilter.h.

◆ ConstPointer

template<typename TInputImage , typename TOutputImage >

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

Definition at line 176 of file itkKLMRegionGrowImageFilter.h.

◆ InputImageConstIterator

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageConstIterator = ImageRegionConstIterator<TInputImage>

Definition at line 203 of file itkKLMRegionGrowImageFilter.h.

◆ InputImageConstPointer

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageConstPointer = typename TInputImage::ConstPointer

Definition at line 187 of file itkKLMRegionGrowImageFilter.h.

◆ InputImageIndexType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageIndexType = typename TInputImage::IndexType

Type definition for the input image index type.

Definition at line 199 of file itkKLMRegionGrowImageFilter.h.

◆ InputImageIterator

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageIterator = ImageRegionIterator<TInputImage>

Type definition for the image iterators to be used.

Definition at line 202 of file itkKLMRegionGrowImageFilter.h.

◆ InputImagePixelType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImagePixelType = typename TInputImage::PixelType

Type definition for the input image pixel type.

Definition at line 190 of file itkKLMRegionGrowImageFilter.h.

◆ InputImagePointer

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImagePointer = typename TInputImage::Pointer

Definition at line 186 of file itkKLMRegionGrowImageFilter.h.

◆ InputImageSizeType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageSizeType = typename TInputImage::SizeType

private

Definition at line 370 of file itkKLMRegionGrowImageFilter.h.

◆ InputImageType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageType = TInputImage

Type definition for the input image.

Definition at line 185 of file itkKLMRegionGrowImageFilter.h.

◆ InputImageVectorType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageVectorType = typename TInputImage::PixelType::VectorType

Type definition for the input image pixel vector type.

Definition at line 193 of file itkKLMRegionGrowImageFilter.h.

◆ InputRegionType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputRegionType = typename TInputImage::RegionType

Type definition for the image region type.

Definition at line 206 of file itkKLMRegionGrowImageFilter.h.

◆ KLMSegmentationBorderArrayPtr

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::KLMSegmentationBorderArrayPtr = KLMDynamicBorderArray<BorderType>

Type definition for the smart border pointers object.

Definition at line 265 of file itkKLMRegionGrowImageFilter.h.

◆ KLMSegmentationBorderPtr

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::KLMSegmentationBorderPtr = typename KLMSegmentationBorder::Pointer

private

Definition at line 372 of file itkKLMRegionGrowImageFilter.h.

◆ KLMSegmentationRegionPtr

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::KLMSegmentationRegionPtr = typename KLMSegmentationRegion::Pointer

private

Definition at line 371 of file itkKLMRegionGrowImageFilter.h.

◆ LabelImageIndexType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::LabelImageIndexType = typename LabelImageType::IndexType

Type definition for the labelled image index type.

Definition at line 253 of file itkKLMRegionGrowImageFilter.h.

◆ LabelImageIterator

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::LabelImageIterator = ImageRegionIterator<LabelImageType>

Type definition for the labelled image iterators.

Definition at line 256 of file itkKLMRegionGrowImageFilter.h.

◆ LabelImagePixelType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::LabelImagePixelType = typename LabelImageType::PixelType

Type definition for the labelled image pixel type.

Definition at line 250 of file itkKLMRegionGrowImageFilter.h.

◆ LabelImagePointer

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::LabelImagePointer = typename LabelImageType::Pointer

Type definition for the labelled image pointer.

Definition at line 247 of file itkKLMRegionGrowImageFilter.h.

◆ LabelImageType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::LabelImageType = Image<RegionLabelType, Self::LabelImageDimension>

Type definition for the labelled image pixel type.

Definition at line 244 of file itkKLMRegionGrowImageFilter.h.

◆ MeanRegionIntensityType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::MeanRegionIntensityType = vnl_vector<double>

Storage type for the mean region intensity.

Definition at line 259 of file itkKLMRegionGrowImageFilter.h.

◆ OutputImageIndexType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImageIndexType = typename TOutputImage::IndexType

Type definition for the output image index type.

Definition at line 232 of file itkKLMRegionGrowImageFilter.h.

◆ OutputImageIterator

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImageIterator = ImageRegionIterator<TOutputImage>

Type definition for the output image iterators.

Definition at line 235 of file itkKLMRegionGrowImageFilter.h.

◆ OutputImagePixelType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImagePixelType = typename TOutputImage::PixelType

Type definition for the output image pixel type.

Definition at line 223 of file itkKLMRegionGrowImageFilter.h.

◆ OutputImagePointer

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImagePointer = typename TOutputImage::Pointer

Definition at line 214 of file itkKLMRegionGrowImageFilter.h.

◆ OutputImageType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImageType = TOutputImage

Type definition for the output image.

Definition at line 213 of file itkKLMRegionGrowImageFilter.h.

◆ OutputImageVectorType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImageVectorType = typename TOutputImage::PixelType::VectorType

Type definition for the output image pixel vector type.

Definition at line 226 of file itkKLMRegionGrowImageFilter.h.

◆ Pointer

template<typename TInputImage , typename TOutputImage >

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

Definition at line 175 of file itkKLMRegionGrowImageFilter.h.

◆ RegionLabelType

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::RegionLabelType = typename KLMSegmentationRegion::RegionLabelType

type definition for the region label type.

Definition at line 238 of file itkKLMRegionGrowImageFilter.h.

◆ Self

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::Self = KLMRegionGrowImageFilter

Standard class type aliases.

Definition at line 173 of file itkKLMRegionGrowImageFilter.h.

◆ Superclass

template<typename TInputImage , typename TOutputImage >

using itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::Superclass = RegionGrowImageFilter<TInputImage, TOutputImage>

Definition at line 174 of file itkKLMRegionGrowImageFilter.h.

Constructor & Destructor Documentation

◆ KLMRegionGrowImageFilter()

template<typename TInputImage , typename TOutputImage >

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

protected

◆ ~KLMRegionGrowImageFilter()

template<typename TInputImage , typename TOutputImage >

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

overrideprotecteddefault

Member Function Documentation

◆ ApplyKLM()

template<typename TInputImage , typename TOutputImage >

void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::ApplyKLM ( )

protected

Function that calls the KLM region growing algorithm.

◆ ApplyRegionGrowImageFilter()

template<typename TInputImage , typename TOutputImage >

void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::ApplyRegionGrowImageFilter ( )

overrideprotectedvirtual

This is the interface function that calls the specific algorithm implementation of region growing.

Implements itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

◆ EnlargeOutputRequestedRegion()

template<typename TInputImage , typename TOutputImage >

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

overrideprotectedvirtual

KLMRegionGrowImageFilter will produce all of the output. Therefore it must provide an implementation of EnlargeOutputRequestedRegion().

See also: ProcessObject::EnlargeOutputRequestedRegion()

Reimplemented from itk::ProcessObject.

◆ GenerateData()

template<typename TInputImage , typename TOutputImage >

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

overrideprotectedvirtual

Standard pipeline method.

Reimplemented from itk::ImageSource< TOutputImage >.

◆ GenerateInputRequestedRegion()

template<typename TInputImage , typename TOutputImage >

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

overrideprotectedvirtual

KLMRegionGrowImageFilter needs the entire input. Therefore it must provide an implementation GenerateInputRequestedRegion().

See also: ProcessObject::GenerateInputRequestedRegion().

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

◆ GenerateLabelledImage()

template<typename TInputImage , typename TOutputImage >

LabelImagePointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GenerateLabelledImage ( LabelImageType * labelImagePtr )

protected

Generate the labelled image.

◆ GenerateOutputImage()

template<typename TInputImage , typename TOutputImage >

virtual void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GenerateOutputImage ( )

protectedvirtual

Generate output approximated image.

◆ GetLabelledImage()

template<typename TInputImage , typename TOutputImage >

LabelImagePointer itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GetLabelledImage ( )

Generate labelled image.

◆ GetMaximumLambda()

template<typename TInputImage , typename TOutputImage >

virtual const double & itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GetMaximumLambda ( ) const

virtual

Set/Get the desired threshold parameter for lambda. See itkSegmentationBorder documentation for details regarding this parameter.

◆ GetNameOfClass()

template<typename TInputImage , typename TOutputImage >

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

overridevirtual

See also: LightObject::GetNameOfClass()

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

◆ GetNumberOfRegions()

template<typename TInputImage , typename TOutputImage >

virtual const unsigned int & itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::GetNumberOfRegions ( ) const

virtual

Set/Get the desired number of regions.

◆ InitializeKLM()

template<typename TInputImage , typename TOutputImage >

void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InitializeKLM ( )

protected

Initialize the RegionGrowImageFilter algorithm.

◆ InitializeRegionParameters()

template<typename TInputImage , typename TOutputImage >

virtual void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InitializeRegionParameters ( InputRegionType region )

protectedvirtual

Calculate the statistics representing the region. In this case we compute the mean region intensity and the area of the initial N-dimensional rectangular area. This is the function that can be overridden in order to enable a different statistical representation for region initialization.

◆ MergeRegions()

template<typename TInputImage , typename TOutputImage >

void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::MergeRegions ( )

overrideprotectedvirtual

Function to merge two regions. The smaller label is always assigned to the new region. This is consistent with the connected components algorithm.

Implements itk::RegionGrowImageFilter< TInputImage, TOutputImage >.

◆ New()

template<typename TInputImage , typename TOutputImage >

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

static

Method for creation through the object factory.

◆ PrintAlgorithmBorderStats()

template<typename TInputImage , typename TOutputImage >

void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::PrintAlgorithmBorderStats ( )

Function that prints all the border information.

◆ PrintAlgorithmRegionStats()

template<typename TInputImage , typename TOutputImage >

void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::PrintAlgorithmRegionStats ( )

Function that prints all the region information.

◆ PrintSelf()

template<typename TInputImage , typename TOutputImage >

void itk::KLMRegionGrowImageFilter< TInputImage, 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 >.

◆ ResolveRegions()

template<typename TInputImage , typename TOutputImage >

virtual void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::ResolveRegions ( )

protectedvirtual

Function to resolve the region labels to be consecutively ordered. Each initial atomic region is given a new label and the aggregate region area and mean intensity.

◆ SetMaximumLambda()

template<typename TInputImage , typename TOutputImage >

virtual void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::SetMaximumLambda ( double _arg )

virtual

Set/Get the desired threshold parameter for lambda. See itkSegmentationBorder documentation for details regarding this parameter.

◆ SetNumberOfRegions()

template<typename TInputImage , typename TOutputImage >

virtual void itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::SetNumberOfRegions ( unsigned int _arg )

virtual

Set/Get the desired number of regions.

Member Data Documentation

◆ InputImageDimension

template<typename TInputImage , typename TOutputImage >

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

staticconstexpr

InputImageDimension enumeration.

Definition at line 217 of file itkKLMRegionGrowImageFilter.h.

◆ InputImageVectorDimension

template<typename TInputImage , typename TOutputImage >

constexpr unsigned int itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::InputImageVectorDimension = InputImagePixelType::Dimension

staticconstexpr

InputImageVectorDimension enumeration.

Definition at line 196 of file itkKLMRegionGrowImageFilter.h.

◆ LabelImageDimension

template<typename TInputImage , typename TOutputImage >

constexpr RegionLabelType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::LabelImageDimension = InputImageDimension

staticconstexpr

The dimension of the labelled image.

Definition at line 241 of file itkKLMRegionGrowImageFilter.h.

◆ m_BorderCandidate

template<typename TInputImage , typename TOutputImage >

KLMSegmentationBorderArrayPtr* itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_BorderCandidate { nullptr }

private

Definition at line 386 of file itkKLMRegionGrowImageFilter.h.

◆ m_BordersDynamicPointer

template<typename TInputImage , typename TOutputImage >

std::vector<KLMSegmentationBorderArrayPtr> itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_BordersDynamicPointer {}

private

Definition at line 385 of file itkKLMRegionGrowImageFilter.h.

◆ m_BordersPointer

template<typename TInputImage , typename TOutputImage >

std::vector<KLMSegmentationBorderPtr> itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_BordersPointer {}

private

Definition at line 384 of file itkKLMRegionGrowImageFilter.h.

◆ m_InitialNumberOfRegions

template<typename TInputImage , typename TOutputImage >

unsigned int itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_InitialNumberOfRegions { 0 }

private

Definition at line 380 of file itkKLMRegionGrowImageFilter.h.

◆ m_InitialRegionArea

template<typename TInputImage , typename TOutputImage >

double itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_InitialRegionArea { 0 }

private

Definition at line 389 of file itkKLMRegionGrowImageFilter.h.

◆ m_InitialRegionMean

template<typename TInputImage , typename TOutputImage >

MeanRegionIntensityType itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_InitialRegionMean {}

private

Definition at line 388 of file itkKLMRegionGrowImageFilter.h.

◆ m_InternalLambda

template<typename TInputImage , typename TOutputImage >

double itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_InternalLambda { 0 }

private

Local variables.

Definition at line 379 of file itkKLMRegionGrowImageFilter.h.

◆ m_MaximumLambda

template<typename TInputImage , typename TOutputImage >

double itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_MaximumLambda { 1000 }

private

Definition at line 374 of file itkKLMRegionGrowImageFilter.h.

◆ m_NumberOfRegions

template<typename TInputImage , typename TOutputImage >

unsigned int itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_NumberOfRegions { 0 }

private

Definition at line 375 of file itkKLMRegionGrowImageFilter.h.

◆ m_RegionsPointer

template<typename TInputImage , typename TOutputImage >

std::vector<KLMSegmentationRegionPtr> itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_RegionsPointer {}

private

Definition at line 383 of file itkKLMRegionGrowImageFilter.h.

◆ m_TotalBorderLength

template<typename TInputImage , typename TOutputImage >

double itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::m_TotalBorderLength { 0.0 }

private

Definition at line 381 of file itkKLMRegionGrowImageFilter.h.

◆ OutputImageDimension

template<typename TInputImage , typename TOutputImage >

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

staticconstexpr

OutputImageDimension enumeration.

Definition at line 220 of file itkKLMRegionGrowImageFilter.h.

◆ OutputImageVectorDimension

template<typename TInputImage , typename TOutputImage >

constexpr unsigned int itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >::OutputImageVectorDimension = OutputImagePixelType::Dimension

staticconstexpr

OutputImageVectorDimension enumeration.

Definition at line 229 of file itkKLMRegionGrowImageFilter.h.

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

itkKLMRegionGrowImageFilter.h

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Private Types

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ BorderType

◆ ConstPointer

◆ InputImageConstIterator

◆ InputImageConstPointer

◆ InputImageIndexType

◆ InputImageIterator

◆ InputImagePixelType

◆ InputImagePointer

◆ InputImageSizeType

◆ InputImageType

◆ InputImageVectorType

◆ InputRegionType

◆ KLMSegmentationBorderArrayPtr

◆ KLMSegmentationBorderPtr

◆ KLMSegmentationRegionPtr

◆ LabelImageIndexType

◆ LabelImageIterator

◆ LabelImagePixelType

◆ LabelImagePointer

◆ LabelImageType

◆ MeanRegionIntensityType

◆ OutputImageIndexType

◆ OutputImageIterator

◆ OutputImagePixelType

◆ OutputImagePointer

◆ OutputImageType

◆ OutputImageVectorType

◆ Pointer

◆ RegionLabelType

◆ Self

◆ Superclass

Constructor & Destructor Documentation

◆ KLMRegionGrowImageFilter()

◆ ~KLMRegionGrowImageFilter()

Member Function Documentation

◆ ApplyKLM()

◆ ApplyRegionGrowImageFilter()

◆ EnlargeOutputRequestedRegion()

◆ GenerateData()

◆ GenerateInputRequestedRegion()

◆ GenerateLabelledImage()

◆ GenerateOutputImage()

◆ GetLabelledImage()

◆ GetMaximumLambda()

◆ GetNameOfClass()

◆ GetNumberOfRegions()

◆ InitializeKLM()

◆ InitializeRegionParameters()

◆ MergeRegions()

◆ New()

◆ PrintAlgorithmBorderStats()

◆ PrintAlgorithmRegionStats()

◆ PrintSelf()

◆ ResolveRegions()

◆ SetMaximumLambda()

◆ SetNumberOfRegions()

Member Data Documentation

◆ InputImageDimension

◆ InputImageVectorDimension

◆ LabelImageDimension

◆ m_BorderCandidate

◆ m_BordersDynamicPointer

◆ m_BordersPointer

◆ m_InitialNumberOfRegions

◆ m_InitialRegionArea

◆ m_InitialRegionMean

◆ m_InternalLambda

◆ m_MaximumLambda

◆ m_NumberOfRegions

◆ m_RegionsPointer