Performs Modified Spatial Kernelized Fuzzy C-Means (MSKFCM) Classification on an image. More...

#include <itkMSKFCMClassifierInitializationImageFilter.h>

Inheritance diagram for itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >:

Collaboration diagram for itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >:

Public Types
typedef itk::Barrier	BarrierType
	Type definitions for barrier class used to synchronize threaded execution. More...

typedef Superclass::CentroidArrayType	CentroidArrayType

typedef NumericTraits< CentroidType >	CentroidNumericTraitsType
	Other centroid typedefs. More...

typedef Superclass::CentroidType	CentroidType
	Centroid typedefs (types inherited from the superclass). More...

typedef NumericTraits< CentroidValueType >	CentroidValueNumericTraitsType

typedef Superclass::CentroidValueType	CentroidValueType

typedef SmartPointer< const Self >	ConstPointer

typedef Superclass::InputImageIndexType	InputImageIndexType

typedef Superclass::InputImagePixelType	InputImagePixelType

typedef Superclass::InputImagePixelValueType	InputImagePixelValueType

typedef Superclass::InputImageRegionType	InputImageRegionType

typedef Superclass::InputImageSizeType	InputImageSizeType

typedef Superclass::InputImageType	InputImageType
	Input image typedef support (types inherited from the superclass). More...

typedef Superclass::InternalImageConstIterator	InternalImageConstIterator

typedef Superclass::InternalImageConstPointer	InternalImageConstPointer

typedef Superclass::InternalImagePointer	InternalImagePointer

typedef Superclass::InternalImageType	InternalImageType
	Internal image typedef support (types inherited from the superclass). More...

typedef KernelDistanceMetricType::Pointer	KernelDistanceMetricPointer

typedef Statistics::KernelInducedDistanceMetric< CentroidType >	KernelDistanceMetricType
	Type definitions for kernel distance metric measure to be used. More...

typedef ConstShapedNeighborhoodIterator< MembershipImageType >	MembershipImageConstShapedNeighborhoodIterator

typedef Superclass::MembershipImageIterator	MembershipImageIterator

typedef Superclass::MembershipImagePixelType	MembershipImagePixelType

typedef Superclass::MembershipImagePointer	MembershipImagePointer

typedef Superclass::MembershipImageType	MembershipImageType
	Membership matrix typedef support (types inherited from the superclass). More...

typedef NumericTraits< MembershipValueType >	MembershipValueNumericTraitsType

typedef Superclass::MembershipValueType	MembershipValueType

typedef itk::FastMutexLock	MutexLockType
	Type definitions for mutex lock. More...

typedef itk::Vector< unsigned int, itkGetStaticConstMacro(InputImageDimension) >	NeighborhoodRadiusType
	Neighborhood region radius typedef. More...

typedef MembershipImageType::RegionType	OutputImageRegionType
	Other membership typedefs. More...

typedef SmartPointer< Self >	Pointer

typedef MSKFCMClassifierInitializationImageFilter	Self
	Standard class typedefs. More...

typedef StructuringElementType::RadiusType	StructuringElementRadiusType

typedef itk::FlatStructuringElement< itkGetStaticConstMacro(InputImageDimension) >	StructuringElementType
	Structuring element typedef. More...

typedef FuzzyClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >	Superclass

Public Types inherited from itk::FuzzyClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >
typedef std::vector< CentroidType >	CentroidArrayType
	Typdef for the array of centroids. More...

typedef itk::Vector< CentroidValueType, InputImagePixelDimension >	CentroidType
	Centroid typedef. More...

typedef NumericTraits< CentroidValueType >	CentroidValueNumericTraitsType
	Other centroid typedefs. More...

typedef TCentroidValuePrecision	CentroidValueType

typedef SmartPointer< const Self >	ConstPointer

typedef ImageRegionConstIterator< InputImageType >	InputImageConstIterator

typedef Superclass::InputImageConstPointer	InputImageConstPointer

typedef InputImageType::IndexType	InputImageIndexType

typedef NumericTraits< InputImagePixelType >	InputImagePixelNumericTraitsType
	Input image pixel typedefs. More...

typedef PixelTraits< InputImagePixelType >	InputImagePixelTraitsType

typedef Superclass::InputImagePixelType	InputImagePixelType

typedef InputImagePixelTraitsType::ValueType	InputImagePixelValueType

typedef Superclass::InputImagePointer	InputImagePointer
	Input image typedef support (types inherited from the superclass). More...

typedef Superclass::InputImageRegionType	InputImageRegionType

typedef InputImageType::SizeType	InputImageSizeType
	Other input image typedefs. More...

typedef TInputImage	InputImageType
	Convenient typedefs for simplifying declarations. More...

typedef ImageRegionConstIterator< InternalImageType >	InternalImageConstIterator

typedef InternalImageType::ConstPointer	InternalImageConstPointer

typedef ImageRegionIterator< InternalImageType >	InternalImageIterator
	Other internal image typedefs. More...

typedef InternalImageType::Pointer	InternalImagePointer

typedef Image< CentroidType, itkGetStaticConstMacro(InputImageDimension) >	InternalImageType
	Internal image typedef support. More...

typedef ImageRegionIterator< MembershipImageType >	MembershipImageIterator

typedef MembershipImageType::PixelType	MembershipImagePixelType

typedef MembershipImageType::Pointer	MembershipImagePointer

typedef OutputImageType	MembershipImageType
	Membership image typedef support. More...

typedef TProbabilityPrecision	MembershipValueType

typedef VectorImage< MembershipValueType, itkGetStaticConstMacro(InputImageDimension) >	OutputImageType
	Convenient typedefs for simplifying declarations. More...

typedef SmartPointer< Self >	Pointer

typedef FuzzyClassifierInitializationImageFilter	Self
	Standard class typedefs. More...

typedef ImageToImageFilter< InputImageType, OutputImageType >	Superclass
	Standard class typedefs. More...

Public Member Functions
	itkGetConstMacro (P, double)
	Get the exponent p that controls the relevance of the memberships in the second step of the algorithm (when the spatial information is introduced as in the SFCM). More...

	itkGetConstMacro (Q, double)
	Get the exponent q that controls the relevance of the function h in the second step of the algorithm (when the spatial information is introduced as in the SFCM). More...

	itkNewMacro (Self)
	Method for creation through the object factory. More...

	itkSetMacro (P, double)
	Set the exponent p that controls the relevance of the memberships in the second step of the algorithm (when the spatial information is introduced as in the SFCM). More...

	itkSetMacro (Q, double)
	Set the exponent q that controls the relevance of the function h in the second step of the algorithm (when the spatial information is introduced as in the SFCM). More...

	itkStaticConstMacro (InputImageDimension, unsigned int, InputImageType::ImageDimension)
	Extract dimension from input image. More...

	itkTypeMacro (MSKFCMClassifierInitializationImageFilter, FuzzyClassifierInitializationImageFilter)
	Run-time type information (and related methods). More...

void	SetInput (const InputImageType *input) override
	Set the input image of this process object. More...

virtual void	SetKernelDistanceMetric (KernelDistanceMetricPointer kernelDistanceMetricPtr)
	Set the pointer to the kernel distance metric to be used. More...

void	SetNumberOfClasses (const unsigned int &numOfClasses) override
	Set number of classes. More...

void	SetStructuringElement (StructuringElementType &structuringEl)
	Set the structuring element to be used in the shaped neighborhood iterator. More...

Public Member Functions inherited from itk::FuzzyClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >
virtual double	ComputeDifference (const CentroidArrayType &arrayOfCentroids)
	Computes the mean square error between centroids and the centroid array passed as parameter. More...

virtual CentroidArrayType	GetCentroids () const
	Get cluster centroids. More...

	itkBooleanMacro (IgnoreBackgroundPixels)
	Turn on and off the IgnoreBackgroundPixels flag. More...

	itkGetConstMacro (BackgroundPixel, InputImagePixelType)
	Get the pixel used as background value in the input image. More...

	itkGetConstMacro (Error, double)
	Get error between the new class centroids and their values from the previous iteration. More...

	itkGetConstMacro (IgnoreBackgroundPixels, bool)
	Get true/false depending on whether the algorithm ignores the background pixels or not. More...

	itkGetConstMacro (M, double)
	Get m fuzziness degree value. More...

	itkGetConstMacro (MaximumError, double)
	Get maximum error used to stop the algorithm. More...

	itkGetConstMacro (MaximumNumberOfIterations, unsigned int)
	Get maximum number of iterations. More...

	itkGetConstMacro (NumberOfClasses, unsigned int)
	Get the number of classes. More...

	itkGetConstMacro (NumberOfIterations, unsigned int)
	Get number of iterations performed. More...

	itkSetClampMacro (M, double, 1.0, NumericTraits< double >::max())
	Set m fuzziness degree value. More...

	itkSetClampMacro (MaximumError, double, 0.0, NumericTraits< double >::max())
	Set maximum error used to stop the algorithm. More...

	itkSetClampMacro (MaximumNumberOfIterations, unsigned int, 1, NumericTraits< unsigned int >::max())
	Set maximum number of iterations. More...

	itkSetMacro (BackgroundPixel, InputImagePixelType)
	Set the pixel used as background value in the input image. More...

	itkSetMacro (IgnoreBackgroundPixels, bool)
	Set true/false depending on whether the algorithm ignores the background pixels or not. More...

	itkStaticConstMacro (InputImageDimension, unsigned int, InputImageType::ImageDimension)
	Extract dimension from input image. More...

	itkStaticConstMacro (InputImagePixelDimension, unsigned int, InputImagePixelTraitsType::Dimension)
	Extract dimension from the pixel of the input image. More...

	itkTypeMacro (FuzzyClassifierInitializationImageFilter, ImageToImageFilter)
	Run-time type information (and related methods). More...

virtual void	SetCentroids (const CentroidArrayType newCentroids)
	Set class centroids. More...

Protected Member Functions
void	AfterThreadedGenerateData () override
	MSKFCMClassifierInitializationImageFilter is implemented as a multithreaded filter and needs to perform processing after all processing threads have completed. More...

void	BeforeThreadedGenerateData () override
	MSKFCMClassifierInitializationImageFilter is implemented as a multithreaded filter and needs to perform processing after the output image has been allocated but before threads are spawned. More...

void	Initialize () override
	Initialize the barrier used for synchronizing the execution of threads. More...

	MSKFCMClassifierInitializationImageFilter ()
	Constructor. More...

void	PrintSelf (std::ostream &os, Indent indent) const override
	Write the name-value pairs of the class data members to the supplied output stream. More...

void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId) override
	MSKFCMClassifierInitializationImageFilter is implemented as a multithreaded filter. More...

virtual	~MSKFCMClassifierInitializationImageFilter ()
	Destructor. More...

Protected Member Functions inherited from itk::FuzzyClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >
void	ComputeImageToProcess (InternalImageType *imageToProcess)
	Get the internal image to process. More...

void	ComputePixelAsCentroid (const InputImagePixelType &pixel, CentroidType &pixelAsCentroid)
	Transforms a given pixel of the input image to the equivalent pixel of centroid type. More...

	FuzzyClassifierInitializationImageFilter ()
	Constructor. More...

void	GenerateData () override
	A version of GenerateData() specific for fuzzy classifiers. More...

void	GenerateOutputInformation () override
	Generate the information describing the output data. More...

void	PrintSelf (std::ostream &os, Indent indent) const override
	Write the name-value pairs of the filter data members to the supplied output stream. More...

virtual	~FuzzyClassifierInitializationImageFilter ()
	Destructor. More...

Protected Attributes
BarrierType::Pointer	m_Barrier
	Standard barrier for synchronizing the execution of threads. More...

MutexLockType::Pointer	m_CentroidsModificationAttributesLock
	Mutex lock used to protect the modification of attributes wich are accessed through different threads. More...

KernelDistanceMetricPointer	m_KernelDistanceMetric
	Pointer to the kernel distance metric to be used. More...

double	m_P
	Exponent that controls the relevance of the memberships in the second step of the algorithm (when the spatial information is introduced as in the SFCM). More...

double	m_Q
	Exponent that controls the relevance of the function h in the second step of the algorithm (when the spatial information is introduced as in the SFCM). More...

StructuringElementType	m_StructuringElement
	Structuring element of the shaped neighborhood iterator. More...

Protected Attributes inherited from itk::FuzzyClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >
InputImagePixelType	m_BackgroundPixel
	Pixel of the input image used as background value. More...

CentroidArrayType	m_Centroids
	Array of class centroids. More...

double	m_Error
	Error obtained between the new class centroids and the old values of the centroids (i.e. More...

bool	m_IgnoreBackgroundPixels
	Flag indicating whether to ignore the background pixels. More...

InternalImagePointer	m_ImageToProcess
	Pointer to the image to be used internally by the algorithm. More...

double	m_M
	Fuzzification parameter (m) in the range [1, n], which determines the degree of fuzziness in the clusters. More...

double	m_MaximumError
	Error threshold used to stop the algorithm. More...

unsigned int	m_MaximumNumberOfIterations
	Maximum number of iterations allowed. More...

unsigned int	m_NumberOfClasses
	Number of fuzzy clusters used to classify the image. More...

unsigned int	m_NumberOfIterations
	Number of iterations performed. More...

Detailed Description

template<class TInputImage, class TProbabilityPrecision = double, class TCentroidValuePrecision = double>
class itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >

Performs Modified Spatial Kernelized Fuzzy C-Means (MSKFCM) Classification on an image.

This implementation is a modified version of the algorithm MSFKCM proposed by Castro et al. in the paper "Comparison of various fuzzy clustering algorithms in the detection of ROI in lung CT and a modified kernelized-spatial fuzzy c-means algorithm" (Proc. of 10th IEEE Int. Conf. On Inf. Tech. and Appl. in Biom., Corfu, Greece, 2010). This modification consists in the combination of the algorithms SFCM (as in the MSFKCM version) and the KFCM (instead of the KFCM used in the MSFKCM version). The KFCM algorithm was presented in S. C. Chen et al.'s paper "Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure" (IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, vol. 34, no. 4, August 2004)

MSKFCMClassifierInitializationImageFilter is implemented as a multithreaded filter. This implementation provides BeforeThreadedGenerateData(), ThreadedGenerateData() and AfterThreadedGenerateData() methods. Documentation of the superclass (FuzzyClassifierInitializationImageFilter) explains multhithreaded support in fuzzy classifiers.

Caveats: The user should set the RBF kernel distance metric.

Version: 0.1

Author: Alberto Rey, Alfonso Castro and Bernardino Arcay. University of A Coruña. Spain

See also: FuzzyClassifierInitializationImageFilter; FCMClassifierInitializationImageFilter; KFCMSClassifierInitializationImageFilter; MSFKCMClassifierInitializationImageFilter; FuzzyClassifierImageFilter

Member Typedef Documentation

◆ BarrierType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef itk::Barrier itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::BarrierType

Type definitions for barrier class used to synchronize threaded execution.

◆ CentroidArrayType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::CentroidArrayType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::CentroidArrayType

◆ CentroidNumericTraitsType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef NumericTraits< CentroidType > itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::CentroidNumericTraitsType

Other centroid typedefs.

◆ CentroidType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::CentroidType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::CentroidType

Centroid typedefs (types inherited from the superclass).

◆ CentroidValueNumericTraitsType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef NumericTraits< CentroidValueType > itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::CentroidValueNumericTraitsType

◆ CentroidValueType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::CentroidValueType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::CentroidValueType

◆ ConstPointer

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef SmartPointer< const Self > itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::ConstPointer

◆ InputImageIndexType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::InputImageIndexType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::InputImageIndexType

◆ InputImagePixelType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::InputImagePixelType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::InputImagePixelType

◆ InputImagePixelValueType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::InputImagePixelValueType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::InputImagePixelValueType

◆ InputImageRegionType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::InputImageRegionType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::InputImageRegionType

◆ InputImageSizeType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::InputImageSizeType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::InputImageSizeType

◆ InputImageType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::InputImageType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::InputImageType

Input image typedef support (types inherited from the superclass).

◆ InternalImageConstIterator

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::InternalImageConstIterator itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::InternalImageConstIterator

◆ InternalImageConstPointer

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::InternalImageConstPointer itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::InternalImageConstPointer

◆ InternalImagePointer

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::InternalImagePointer itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::InternalImagePointer

◆ InternalImageType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::InternalImageType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::InternalImageType

Internal image typedef support (types inherited from the superclass).

This image is used for internal processing.

◆ KernelDistanceMetricPointer

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef KernelDistanceMetricType::Pointer itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::KernelDistanceMetricPointer

◆ KernelDistanceMetricType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Statistics::KernelInducedDistanceMetric< CentroidType > itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::KernelDistanceMetricType

Type definitions for kernel distance metric measure to be used.

◆ MembershipImageConstShapedNeighborhoodIterator

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef ConstShapedNeighborhoodIterator< MembershipImageType > itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::MembershipImageConstShapedNeighborhoodIterator

◆ MembershipImageIterator

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::MembershipImageIterator itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::MembershipImageIterator

◆ MembershipImagePixelType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::MembershipImagePixelType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::MembershipImagePixelType

◆ MembershipImagePointer

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::MembershipImagePointer itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::MembershipImagePointer

◆ MembershipImageType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::MembershipImageType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::MembershipImageType

Membership matrix typedef support (types inherited from the superclass).

◆ MembershipValueNumericTraitsType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef NumericTraits< MembershipValueType > itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::MembershipValueNumericTraitsType

◆ MembershipValueType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef Superclass::MembershipValueType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::MembershipValueType

◆ MutexLockType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef itk::FastMutexLock itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::MutexLockType

Type definitions for mutex lock.

Mutex lock allows the locking of variables which are accessed through different threads.

◆ NeighborhoodRadiusType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef itk::Vector< unsigned int, itkGetStaticConstMacro(InputImageDimension) > itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::NeighborhoodRadiusType

Neighborhood region radius typedef.

◆ OutputImageRegionType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef MembershipImageType::RegionType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::OutputImageRegionType

Other membership typedefs.

◆ Pointer

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef SmartPointer< Self > itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::Pointer

◆ Self

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef MSKFCMClassifierInitializationImageFilter itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::Self

Standard class typedefs.

◆ StructuringElementRadiusType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef StructuringElementType::RadiusType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::StructuringElementRadiusType

◆ StructuringElementType

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef itk::FlatStructuringElement< itkGetStaticConstMacro(InputImageDimension) > itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::StructuringElementType

Structuring element typedef.

◆ Superclass

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

typedef FuzzyClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision > itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::Superclass

Constructor & Destructor Documentation

◆ MSKFCMClassifierInitializationImageFilter()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::MSKFCMClassifierInitializationImageFilter ( )

protected

Constructor.

◆ ~MSKFCMClassifierInitializationImageFilter()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

virtual itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::~MSKFCMClassifierInitializationImageFilter ( )

protectedvirtual

Destructor.

Member Function Documentation

◆ AfterThreadedGenerateData()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

void itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::AfterThreadedGenerateData ( )

overrideprotected

MSKFCMClassifierInitializationImageFilter is implemented as a multithreaded filter and needs to perform processing after all processing threads have completed.

Therefore, this implementation provides an AfterThreadedGenerateData() method. This method is executed once per iteration of the MSKFCM algorithm and will update the centroids and calculate the error.

◆ BeforeThreadedGenerateData()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

void itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::BeforeThreadedGenerateData ( )

overrideprotected

MSKFCMClassifierInitializationImageFilter is implemented as a multithreaded filter and needs to perform processing after the output image has been allocated but before threads are spawned.

Therefore, this implementation provides a BeforeThreadedGenerateData() method. This method is executed once per iteration of the MSKFCM algorithm and will store the old values of the centroids and initialize some variables used internally.

◆ Initialize()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

void itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::Initialize ( )

overrideprotectedvirtual

Initialize the barrier used for synchronizing the execution of threads.

Reimplemented from itk::FuzzyClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >.

◆ itkGetConstMacro() [1/2]

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::itkGetConstMacro	(	P	,
		double
	)

Get the exponent p that controls the relevance of the memberships in the second step of the algorithm (when the spatial information is introduced as in the SFCM).

◆ itkGetConstMacro() [2/2]

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::itkGetConstMacro	(	Q	,
		double
	)

Get the exponent q that controls the relevance of the function h in the second step of the algorithm (when the spatial information is introduced as in the SFCM).

◆ itkNewMacro()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::itkNewMacro ( Self )

Method for creation through the object factory.

◆ itkSetMacro() [1/2]

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::itkSetMacro	(	P	,
		double
	)

Set the exponent p that controls the relevance of the memberships in the second step of the algorithm (when the spatial information is introduced as in the SFCM).

◆ itkSetMacro() [2/2]

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::itkSetMacro	(	Q	,
		double
	)

Set the exponent q that controls the relevance of the function h in the second step of the algorithm (when the spatial information is introduced as in the SFCM).

◆ itkStaticConstMacro()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::itkStaticConstMacro	(	InputImageDimension	,
		unsigned int	,
		InputImageType::ImageDimension
	)

Extract dimension from input image.

◆ itkTypeMacro()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::itkTypeMacro	(	MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >	,
		FuzzyClassifierInitializationImageFilter
	)

Run-time type information (and related methods).

◆ PrintSelf()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

void itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

overrideprotected

Write the name-value pairs of the class data members to the supplied output stream.

◆ SetInput()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

void itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::SetInput ( const InputImageType * input )

override

Set the input image of this process object.

This method calls Superclass::SetInput() and allocates the temporary membership image.

◆ SetKernelDistanceMetric()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

virtual void itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::SetKernelDistanceMetric ( KernelDistanceMetricPointer kernelDistanceMetricPtr )

virtual

Set the pointer to the kernel distance metric to be used.

This kernel distance should be a RBF kernel distance metric.

◆ SetNumberOfClasses()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

void itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::SetNumberOfClasses ( const unsigned int & numOfClasses )

overridevirtual

Set number of classes.

This method calls Superclass::SetNumberOfClasses(numOfClasses) and creates some variables used for centroids calculations. This method also sets the size of the vector of old centroids and the length of the vector of the temporary membership matrix.

Reimplemented from itk::FuzzyClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >.

◆ SetStructuringElement()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

void itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::SetStructuringElement ( StructuringElementType & structuringEl )

Set the structuring element to be used in the shaped neighborhood iterator.

◆ ThreadedGenerateData()

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

void itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::ThreadedGenerateData	(	const OutputImageRegionType &	outputRegionForThread,
		ThreadIdType	threadId
	)

overrideprotected

MSKFCMClassifierInitializationImageFilter is implemented as a multithreaded filter.

Therefore, this implementation provides a ThreadedGenerateData() method which is called for each processing thread. The output image data is allocated automatically by the supercalss prior to calling ThreadedGenerateData(). ThreadedGenerateData() can only write to the portion of the output membership image specified by the parameter "outputRegionForThread". This method is executed once per iteration of the MSKFCM algorithm and will set that portion of the membership image and perform some calulations used later to update the centroids.

See also: FuzzyClassifierInitializationImageFilter::GenerateData()

Member Data Documentation

◆ m_Barrier

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

BarrierType::Pointer itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::m_Barrier

protected

Standard barrier for synchronizing the execution of threads.

◆ m_CentroidsModificationAttributesLock

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

MutexLockType::Pointer itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::m_CentroidsModificationAttributesLock

protected

Mutex lock used to protect the modification of attributes wich are accessed through different threads.

◆ m_KernelDistanceMetric

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

KernelDistanceMetricPointer itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::m_KernelDistanceMetric

protected

Pointer to the kernel distance metric to be used.

◆ m_P

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

double itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::m_P

protected

Exponent that controls the relevance of the memberships in the second step of the algorithm (when the spatial information is introduced as in the SFCM).

◆ m_Q

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

double itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::m_Q

protected

Exponent that controls the relevance of the function h in the second step of the algorithm (when the spatial information is introduced as in the SFCM).

◆ m_StructuringElement

template<class TInputImage , class TProbabilityPrecision = double, class TCentroidValuePrecision = double>

StructuringElementType itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >::m_StructuringElement

protected

Structuring element of the shaped neighborhood iterator.

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

Toolkit/FuzzyCMeans/itkMSKFCMClassifierInitializationImageFilter.h

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

template<class TInputImage, class TProbabilityPrecision = double, class TCentroidValuePrecision = double> class itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >

Member Typedef Documentation

◆ BarrierType

◆ CentroidArrayType

◆ CentroidNumericTraitsType

◆ CentroidType

◆ CentroidValueNumericTraitsType

◆ CentroidValueType

◆ ConstPointer

◆ InputImageIndexType

◆ InputImagePixelType

◆ InputImagePixelValueType

◆ InputImageRegionType

◆ InputImageSizeType

◆ InputImageType

◆ InternalImageConstIterator

◆ InternalImageConstPointer

◆ InternalImagePointer

◆ InternalImageType

◆ KernelDistanceMetricPointer

◆ KernelDistanceMetricType

◆ MembershipImageConstShapedNeighborhoodIterator

◆ MembershipImageIterator

◆ MembershipImagePixelType

◆ MembershipImagePointer

◆ MembershipImageType

◆ MembershipValueNumericTraitsType

◆ MembershipValueType

◆ MutexLockType

◆ NeighborhoodRadiusType

◆ OutputImageRegionType

◆ Pointer

◆ Self

◆ StructuringElementRadiusType

◆ StructuringElementType

◆ Superclass

Constructor & Destructor Documentation

◆ MSKFCMClassifierInitializationImageFilter()

◆ ~MSKFCMClassifierInitializationImageFilter()

Member Function Documentation

◆ AfterThreadedGenerateData()

◆ BeforeThreadedGenerateData()

◆ Initialize()

◆ itkGetConstMacro() [1/2]

◆ itkGetConstMacro() [2/2]

◆ itkNewMacro()

◆ itkSetMacro() [1/2]

◆ itkSetMacro() [2/2]

◆ itkStaticConstMacro()

◆ itkTypeMacro()

◆ PrintSelf()

◆ SetInput()

◆ SetKernelDistanceMetric()

◆ SetNumberOfClasses()

◆ SetStructuringElement()

◆ ThreadedGenerateData()

Member Data Documentation

◆ m_Barrier

◆ m_CentroidsModificationAttributesLock

◆ m_KernelDistanceMetric

◆ m_P

◆ m_Q

◆ m_StructuringElement

template<class TInputImage, class TProbabilityPrecision = double, class TCentroidValuePrecision = double>
class itk::MSKFCMClassifierInitializationImageFilter< TInputImage, TProbabilityPrecision, TCentroidValuePrecision >