#include <itkImageGaussianModelEstimator.h>

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

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

Detailed Description

template<class TInputImage, class TMembershipFunction, class 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.

Definition at line 77 of file itkImageGaussianModelEstimator.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer

typedef ImageRegionIterator < TInputImage >	InputImageIterator

typedef TInputImage::PixelType	InputImagePixelType

typedef TInputImage::Pointer	InputImagePointer

typedef TMembershipFunction::Pointer	MembershipFunctionPointer

typedef TMembershipFunction	MembershipFunctionType

typedef SmartPointer< Self >	Pointer

typedef ImageGaussianModelEstimator	Self

typedef ImageModelEstimatorBase < TInputImage, TMembershipFunction >	Superclass

typedef ImageRegionIterator < TTrainingImage >	TrainingImageIterator

typedef TTrainingImage::PixelType	TrainingImagePixelType

typedef TTrainingImage::Pointer	TrainingImagePointer

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

typedef TInputImage::Pointer	InputImagePointer

typedef TInputImage	InputImageType

typedef TMembershipFunction::Pointer	MembershipFunctionPointer

typedef std::vector < MembershipFunctionPointer >	MembershipFunctionPointerVector

typedef SmartPointer< Self >	Pointer

typedef ImageModelEstimatorBase	Self

typedef LightProcessObject	Superclass

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

typedef SmartPointer< Self >	Pointer

typedef LightProcessObject	Self

typedef Object	Superclass

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

typedef SmartPointer< Self >	Pointer

typedef Object	Self

typedef LightObject	Superclass

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

typedef SmartPointer< Self >	Pointer

typedef LightObject	Self

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const

virtual const char *	GetNameOfClass () const

virtual TrainingImagePointer	GetTrainingImage () const

virtual void	SetTrainingImage (TrainingImagePointer _arg)

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

void	DeleteAllMembershipFunctions ()

virtual InputImageType *	GetInputImage ()

const MembershipFunctionPointerVector	GetMembershipFunctions () const

unsigned int	GetNumberOfMembershipFunctions ()

virtual const unsigned int &	GetNumberOfModels ()

virtual void	SetInputImage (InputImageType *_arg)

void	SetMembershipFunctions (MembershipFunctionPointerVector membershipFunctions)

virtual void	SetNumberOfModels (unsigned int _arg)

void	Update ()

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

virtual void	AbortGenerateDataOn ()

virtual const bool &	GetAbortGenerateData ()

virtual void	SetAbortGenerateData (bool _arg)

virtual void	UpdateOutputData ()

void	UpdateProgress (float amount)

virtual void	SetProgress (float _arg)

virtual const float &	GetProgress ()

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 (void)

const MetaDataDictionary &	GetMetaDataDictionary (void) 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

virtual void	Register () const

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

virtual void	SetReferenceCount (int)

virtual void	UnRegister () 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 ()

Protected Member Functions
void	GenerateData ()

	ImageGaussianModelEstimator ()

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

	~ImageGaussianModelEstimator ()

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

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

	~ImageModelEstimatorBase ()

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

	~LightProcessObject ()

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

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

virtual void	SetTimeStamp (const TimeStamp &time)

virtual	~Object ()

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
typedef TInputImage::SizeType	InputImageSizeType

typedef vnl_matrix< double >	MatrixType

Private Member Functions
void	EstimateGaussianModelParameters ()

virtual void	EstimateModels ()

	ImageGaussianModelEstimator (const Self &)

void	operator= (const Self &)

Private Attributes
MatrixType *	m_Covariance

MatrixType	m_Means

MatrixType	m_NumberOfSamples

TrainingImagePointer	m_TrainingImage

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

Additional Inherited Members
Protected Types inherited from itk::LightObject
typedef int	InternalReferenceCountType

Protected Attributes inherited from itk::LightObject
InternalReferenceCountType	m_ReferenceCount

SimpleFastMutexLock	m_ReferenceCountLock