#include <itkImageGaussianModelEstimator.h>

Inheritance diagram for itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >:

Collaboration diagram for itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >:

Detailed Description

template<typename TInputImage, typename TMembershipFunction, typename TTrainingImage>
class itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >

Base class for ImageGaussianModelEstimator object.

itkImageGaussianModelEstimator generates the Gaussian model for given tissue types (or class types) in an input training data set for segmentation. The training data set is typically provided as a set of labelled/classified data set by the user. A Gaussian model is generated for each label present in the training data set.

The user should ensure that both the input and training images are of the same size. The input data consists of the raw data and the training data has class labels associated with each pixel.

A zero label is used to identify the background. A model is not calcualted for the background (its mean and covariance will be zero). Positive labels are classes for which models will be estimated. Negative labels indicate unlabeled data where no models will be estimated.

This object supports data handling of multiband images. The object accepts the input image in vector format only, where each pixel is a vector and each element of the vector corresponds to an entry from 1 particular band of a multiband dataset. A single band image is treated as a vector image with a single element for every vector. The classified image is treated as a single band scalar image.

This function is templated over the type of input and output images. In addition, a third parameter for the MembershipFunction needs to be specified. In this case a Membership function that stores Gaussian models needs to be specified.

The function EstimateModels() calculates the various models, creates the membership function objects and populates them.

Examples:: Examples/Segmentation/GibbsPriorImageFilter1.cxx.

Definition at line 77 of file itkImageGaussianModelEstimator.h.

Public Types
using	ConstPointer = SmartPointer< const Self >

using	InputImageConstIterator = ImageRegionConstIterator< TInputImage >

using	InputImageConstPointer = typename TInputImage::ConstPointer

using	InputImageIterator = ImageRegionIterator< TInputImage >

using	InputImagePixelType = typename TInputImage::PixelType

using	InputImagePointer = typename TInputImage::Pointer

using	InputImageType = TInputImage

using	MembershipFunctionPointer = typename TMembershipFunction::Pointer

using	MembershipFunctionType = TMembershipFunction

using	Pointer = SmartPointer< Self >

using	Self = ImageGaussianModelEstimator

using	Superclass = ImageModelEstimatorBase< TInputImage, TMembershipFunction >

using	TrainingImageConstIterator = ImageRegionConstIterator< TTrainingImage >

using	TrainingImageConstPointer = typename TTrainingImage::ConstPointer

using	TrainingImageIterator = ImageRegionIterator< TTrainingImage >

using	TrainingImagePixelType = typename TTrainingImage::PixelType

using	TrainingImagePointer = typename TTrainingImage::Pointer

using	TrainingImageType = TTrainingImage

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

using	InputImagePointer = typename TInputImage::Pointer

using	InputImageType = TInputImage

using	MembershipFunctionPointer = typename TMembershipFunction::Pointer

using	MembershipFunctionPointerVector = std::vector< MembershipFunctionPointer >

using	Pointer = SmartPointer< Self >

using	Self = ImageModelEstimatorBase

using	Superclass = LightProcessObject

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

using	Pointer = SmartPointer< Self >

using	Self = LightProcessObject

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
virtual ::itk::LightObject::Pointer	CreateAnother () const

virtual const char *	GetNameOfClass () const


virtual void	SetTrainingImage (TrainingImageType *_arg)

virtual TrainingImageType *	GetModifiableTrainingImage ()

virtual const TrainingImageType *	GetTrainingImage () const

Public Member Functions inherited from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >
unsigned int	AddMembershipFunction (MembershipFunctionPointer function)

void	DeleteAllMembershipFunctions ()

const MembershipFunctionPointerVector	GetMembershipFunctions () const

unsigned int	GetNumberOfMembershipFunctions ()

virtual const unsigned int &	GetNumberOfModels () const

void	SetMembershipFunctions (MembershipFunctionPointerVector membershipFunctions)

virtual void	SetNumberOfModels (unsigned int _arg)

void	Update ()

virtual void	SetInputImage (InputImageType *_arg)

virtual InputImageType *	GetModifiableInputImage ()

virtual const InputImageType *	GetInputImage () const

Public Member Functions inherited from itk::LightProcessObject
virtual void	AbortGenerateDataOff ()

virtual void	AbortGenerateDataOn ()

virtual const bool &	GetAbortGenerateData () const

virtual void	SetAbortGenerateData (bool _arg)

virtual void	UpdateOutputData ()

void	UpdateProgress (float amount)

virtual void	SetProgress (float _arg)

virtual const float &	GetProgress () const

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

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

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () const

virtual ModifiedTimeType	GetMTime () const

virtual const TimeStamp &	GetTimeStamp () const

bool	HasObserver (const EventObject &event) const

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual void	Modified () const

void	Register () const override

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetReferenceCount (int) override

void	UnRegister () const noexceptoverride

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
virtual void	Delete ()

virtual int	GetReferenceCount () const

	itkCloneMacro (Self)

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

Static Public Member Functions
static Pointer	New ()

Static Public Member Functions inherited from itk::LightProcessObject
static Pointer	New ()

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

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool flag)

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

static Pointer	New ()

Protected Member Functions
void	GenerateData () override

	ImageGaussianModelEstimator ()

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

	~ImageGaussianModelEstimator () override

Protected Member Functions inherited from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >
void	GenerateData () override

	ImageModelEstimatorBase ()

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

	~ImageModelEstimatorBase () override=default

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

	~LightProcessObject () override

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

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

virtual void	SetTimeStamp (const TimeStamp &time)

	~Object () override

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

	LightObject ()

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

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

virtual	~LightObject ()

Private Types
using	InputImageSizeType = typename TInputImage::SizeType

using	MatrixType = vnl_matrix< double >

Private Member Functions
void	EstimateGaussianModelParameters ()

void	EstimateModels () override

Private Attributes
MatrixType *	m_Covariance {nullptr}

MatrixType	m_Means

MatrixType	m_NumberOfSamples

TrainingImagePointer	m_TrainingImage

Static Private Attributes
static constexpr unsigned int	VectorDimension = InputImagePixelType::Dimension

Additional Inherited Members
Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount