anima::GaussianEMEstimator< TInputImage, TMaskImage > Class Template Reference

Gaussian Model estimator Class performing expectation-maximation algorithm. More...

#include <animaGaussianEMEstimator.h>

Inheritance diagram for anima::GaussianEMEstimator< TInputImage, TMaskImage >:

Collaboration diagram for anima::GaussianEMEstimator< TInputImage, TMaskImage >:

Public Types
typedef itk::SmartPointer< const Self >	ConstPointer
typedef itk::Statistics::GaussianMembershipFunction< MeasurementVectorType >	GaussianFunctionType
typedef std::map< Intensities, std::vector< Ocurrences > >	GenericContainer
typedef std::map< Intensities, Ocurrences >	Histogram
typedef itk::ImageRegionConstIterator< InputImageType >	InputConstIteratorType
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef TInputImage	InputImageType
typedef std::vector< MeasureType >	Intensities
typedef itk::ImageRegionConstIterator< MaskImageType >	MaskConstIteratorType
typedef TMaskImage	MaskImageType
typedef itk::ImageRegionIterator< MaskImageType >	MaskIteratorType
typedef itk::VariableLengthVector< NumericType >	MeasurementVectorType
typedef unsigned short	MeasureType
typedef double	NumericType
typedef double	Ocurrences
typedef itk::SmartPointer< Self >	Pointer
typedef GaussianEMEstimator	Self
typedef itk::ProcessObject	Superclass

Public Member Functions
double	computeDistance (std::vector< GaussianFunctionType::Pointer > &newModel)
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
void	createJointHistogram ()
virtual double	expectation ()
std::vector< double >	GetAlphas ()
GenericContainer	GetAPosterioriProbability ()
std::vector< GaussianFunctionType::Pointer >	GetGaussianModel ()
TInputImage::ConstPointer	GetInputImage1 ()
TInputImage::ConstPointer	GetInputImage2 ()
TInputImage::ConstPointer	GetInputImage3 ()
TInputImage::ConstPointer	GetInputImage4 ()
TInputImage::ConstPointer	GetInputImage5 ()
Histogram	GetJointHistogram ()
	return joint histogram More...
virtual double	GetLikelihood ()
TMaskImage::ConstPointer	GetMask ()
virtual unsigned int	GetMaxIterations ()
virtual double	GetModelMinDistance ()
virtual const char *	GetNameOfClass () const
virtual bool	GetVerbose ()
double	likelihood (GaussianFunctionType::CovarianceMatrixType *invCovariance=NULL, double *detCovariance=NULL)
virtual bool	maximization (std::vector< GaussianFunctionType::Pointer > &newModel, std::vector< double > &newAlphas)
void	SetInitialAlphas (std::vector< double > &theValue)
void	SetInitialGaussianModel (std::vector< GaussianFunctionType::Pointer > &theValue)
	Set model to be estimated. More...
void	SetInputImage1 (const TInputImage *image)
void	SetInputImage2 (const TInputImage *image)
void	SetInputImage3 (const TInputImage *image)
void	SetInputImage4 (const TInputImage *image)
void	SetInputImage5 (const TInputImage *image)
virtual void	SetLikelihood (double _arg)
void	SetMask (const TMaskImage *mask)
virtual void	SetMaxIterations (unsigned int _arg)
virtual void	SetModelMinDistance (double _arg)
virtual void	SetVerbose (bool _arg)
virtual void	Update () ITK_OVERRIDE

Static Public Member Functions
static Pointer	New ()

Protected Member Functions
	GaussianEMEstimator (const Self &)
	GaussianEMEstimator ()
void	operator= (const Self &)
virtual	~GaussianEMEstimator ()

Protected Attributes
std::vector< double >	m_Alphas
	model to be estimated (and solution if already run) More...
GenericContainer	m_APosterioriProbability
std::vector< GaussianFunctionType::Pointer >	m_GaussianModel
std::vector< InputImageConstPointer >	m_ImagesVector
unsigned int	m_IndexImage1
unsigned int	m_IndexImage2
unsigned int	m_IndexImage3
unsigned int	m_IndexImage4
unsigned int	m_IndexImage5
unsigned int	m_IndexImage6
Histogram	m_JointHistogram
	joint histogram The points stored here will be used for estimate de model More...
Histogram	m_JointHistogramInitial
double	m_Likelihood
unsigned int	m_MaxIterations
double	m_ModelMinDistance
unsigned int	m_NbInputs
unsigned int	m_nbMaxImages
bool	m_Verbose

Detailed Description

template<typename TInputImage, typename TMaskImage>
class anima::GaussianEMEstimator< TInputImage, TMaskImage >

Gaussian Model estimator Class performing expectation-maximation algorithm.

Definition at line 13 of file animaGaussianEMEstimator.h.

Member Typedef Documentation

ConstPointer

template<typename TInputImage , typename TMaskImage >

typedef itk::SmartPointer<const Self> anima::GaussianEMEstimator< TInputImage, TMaskImage >::ConstPointer

Definition at line 21 of file animaGaussianEMEstimator.h.

GaussianFunctionType

template<typename TInputImage , typename TMaskImage >

typedef itk::Statistics::GaussianMembershipFunction< MeasurementVectorType > anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianFunctionType

Definition at line 47 of file animaGaussianEMEstimator.h.

GenericContainer

template<typename TInputImage , typename TMaskImage >

typedef std::map< Intensities, std::vector<Ocurrences> > anima::GaussianEMEstimator< TInputImage, TMaskImage >::GenericContainer

Definition at line 42 of file animaGaussianEMEstimator.h.

Histogram

template<typename TInputImage , typename TMaskImage >

typedef std::map<Intensities,Ocurrences> anima::GaussianEMEstimator< TInputImage, TMaskImage >::Histogram

Definition at line 43 of file animaGaussianEMEstimator.h.

InputConstIteratorType

template<typename TInputImage , typename TMaskImage >

typedef itk::ImageRegionConstIterator< InputImageType > anima::GaussianEMEstimator< TInputImage, TMaskImage >::InputConstIteratorType

Definition at line 32 of file animaGaussianEMEstimator.h.

InputImageConstPointer

template<typename TInputImage , typename TMaskImage >

typedef InputImageType::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::InputImageConstPointer

Definition at line 31 of file animaGaussianEMEstimator.h.

InputImageType

template<typename TInputImage , typename TMaskImage >

typedef TInputImage anima::GaussianEMEstimator< TInputImage, TMaskImage >::InputImageType

Type of the input image.

Definition at line 27 of file animaGaussianEMEstimator.h.

Intensities

template<typename TInputImage , typename TMaskImage >

typedef std::vector<MeasureType> anima::GaussianEMEstimator< TInputImage, TMaskImage >::Intensities

Definition at line 41 of file animaGaussianEMEstimator.h.

MaskConstIteratorType

template<typename TInputImage , typename TMaskImage >

typedef itk::ImageRegionConstIterator< MaskImageType > anima::GaussianEMEstimator< TInputImage, TMaskImage >::MaskConstIteratorType

Definition at line 37 of file animaGaussianEMEstimator.h.

MaskImageType

template<typename TInputImage , typename TMaskImage >

typedef TMaskImage anima::GaussianEMEstimator< TInputImage, TMaskImage >::MaskImageType

Type of the mask image.

Definition at line 35 of file animaGaussianEMEstimator.h.

MaskIteratorType

template<typename TInputImage , typename TMaskImage >

typedef itk::ImageRegionIterator< MaskImageType > anima::GaussianEMEstimator< TInputImage, TMaskImage >::MaskIteratorType

Definition at line 36 of file animaGaussianEMEstimator.h.

MeasurementVectorType

template<typename TInputImage , typename TMaskImage >

typedef itk::VariableLengthVector<NumericType> anima::GaussianEMEstimator< TInputImage, TMaskImage >::MeasurementVectorType

Definition at line 46 of file animaGaussianEMEstimator.h.

MeasureType

template<typename TInputImage , typename TMaskImage >

typedef unsigned short anima::GaussianEMEstimator< TInputImage, TMaskImage >::MeasureType

Definition at line 40 of file animaGaussianEMEstimator.h.

NumericType

template<typename TInputImage , typename TMaskImage >

typedef double anima::GaussianEMEstimator< TInputImage, TMaskImage >::NumericType

Definition at line 45 of file animaGaussianEMEstimator.h.

Ocurrences

template<typename TInputImage , typename TMaskImage >

typedef double anima::GaussianEMEstimator< TInputImage, TMaskImage >::Ocurrences

Definition at line 39 of file animaGaussianEMEstimator.h.

Pointer

template<typename TInputImage , typename TMaskImage >

typedef itk::SmartPointer<Self> anima::GaussianEMEstimator< TInputImage, TMaskImage >::Pointer

Definition at line 20 of file animaGaussianEMEstimator.h.

Self

template<typename TInputImage , typename TMaskImage >

typedef GaussianEMEstimator anima::GaussianEMEstimator< TInputImage, TMaskImage >::Self

Standard class typedefs.

Definition at line 18 of file animaGaussianEMEstimator.h.

Superclass

template<typename TInputImage , typename TMaskImage >

typedef itk::ProcessObject anima::GaussianEMEstimator< TInputImage, TMaskImage >::Superclass

Definition at line 19 of file animaGaussianEMEstimator.h.

Constructor & Destructor Documentation

GaussianEMEstimator() [1/2]

template<typename TInputImage , typename TMaskImage >

anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator ( const Self &  )

protected

GaussianEMEstimator() [2/2]

template<typename TInputImage , typename TMaskImage >

anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator ( )

inlineprotected

Definition at line 109 of file animaGaussianEMEstimator.h.

References anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage1, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage2, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage3, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage4, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage5, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage6, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_MaxIterations, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_ModelMinDistance, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_NbInputs, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_nbMaxImages, and anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_Verbose.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

~GaussianEMEstimator()

template<typename TInputImage , typename TMaskImage >

virtual anima::GaussianEMEstimator< TInputImage, TMaskImage >::~GaussianEMEstimator ( )

inlineprotectedvirtual

Definition at line 123 of file animaGaussianEMEstimator.h.

Member Function Documentation

computeDistance()

template<typename TInputImage , typename TMaskImage >

double anima::GaussianEMEstimator< TInputImage, TMaskImage >::computeDistance

(

std::vector< GaussianFunctionType::Pointer > &

newModel

)

Definition at line 533 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetJointHistogram().

CreateAnother()

template<typename TInputImage , typename TMaskImage >

virtual::itk::LightObject::Pointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::CreateAnother

(

void

)

const

createJointHistogram()

template<typename TInputImage , typename TMaskImage >

void anima::GaussianEMEstimator< TInputImage, TMaskImage >::createJointHistogram

(

)

Definition at line 95 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

expectation()

template<typename TInputImage , typename TMaskImage >

double anima::GaussianEMEstimator< TInputImage, TMaskImage >::expectation ( )

virtual

Definition at line 148 of file animaGaussianEMEstimator.hxx.

References anima::xi().

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetJointHistogram().

GetAlphas()

template<typename TInputImage , typename TMaskImage >

std::vector<double> anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAlphas ( )

inline

Definition at line 55 of file animaGaussianEMEstimator.h.

References anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_Alphas.

GetAPosterioriProbability()

template<typename TInputImage , typename TMaskImage >

GenericContainer anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability ( )

inline

Definition at line 70 of file animaGaussianEMEstimator.h.

References anima::GaussianEMEstimator< TInputImage, TMaskImage >::createJointHistogram(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage1(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage2(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage3(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage4(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage5(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetMask(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_APosterioriProbability, anima::GaussianEMEstimator< TInputImage, TMaskImage >::operator=(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage1(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage2(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage3(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage4(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage5(), and anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetMask().

GetGaussianModel()

template<typename TInputImage , typename TMaskImage >

std::vector<GaussianFunctionType::Pointer> anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetGaussianModel ( )

inline

Definition at line 54 of file animaGaussianEMEstimator.h.

References anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_GaussianModel.

GetInputImage1()

template<typename TInputImage , typename TMaskImage >

TInputImage::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage1

(

)

Definition at line 60 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

GetInputImage2()

template<typename TInputImage , typename TMaskImage >

TInputImage::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage2

(

)

Definition at line 67 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

GetInputImage3()

template<typename TInputImage , typename TMaskImage >

TInputImage::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage3

(

)

Definition at line 74 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

GetInputImage4()

template<typename TInputImage , typename TMaskImage >

TInputImage::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage4

(

)

Definition at line 81 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

GetInputImage5()

template<typename TInputImage , typename TMaskImage >

TInputImage::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage5

(

)

Definition at line 88 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

GetJointHistogram()

template<typename TInputImage , typename TMaskImage >

Histogram anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetJointHistogram ( )

inline

return joint histogram

Definition at line 59 of file animaGaussianEMEstimator.h.

References anima::GaussianEMEstimator< TInputImage, TMaskImage >::computeDistance(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::expectation(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::likelihood(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_JointHistogramInitial, anima::GaussianEMEstimator< TInputImage, TMaskImage >::maximization(), and anima::GaussianEMEstimator< TInputImage, TMaskImage >::Update().

GetLikelihood()

template<typename TInputImage , typename TMaskImage >

virtual double anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetLikelihood ( )

virtual

GetMask()

template<typename TInputImage , typename TMaskImage >

TMaskImage::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetMask

(

)

Definition at line 53 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

GetMaxIterations()

template<typename TInputImage , typename TMaskImage >

virtual unsigned int anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetMaxIterations ( )

virtual

GetModelMinDistance()

template<typename TInputImage , typename TMaskImage >

virtual double anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetModelMinDistance ( )

virtual

GetNameOfClass()

template<typename TInputImage , typename TMaskImage >

virtual const char* anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented in anima::GaussianREMEstimator< TInputImage, TMaskImage >.

GetVerbose()

template<typename TInputImage , typename TMaskImage >

virtual bool anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetVerbose ( )

virtual

likelihood()

template<typename TInputImage , typename TMaskImage >

double anima::GaussianEMEstimator< TInputImage, TMaskImage >::likelihood	(	GaussianFunctionType::CovarianceMatrixType *	invCovariance = NULL,
		double *	detCovariance = NULL
	)

Definition at line 444 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetJointHistogram().

maximization()

template<typename TInputImage , typename TMaskImage >

bool anima::GaussianEMEstimator< TInputImage, TMaskImage >::maximization ( std::vector< GaussianFunctionType::Pointer > &  newModel, std::vector< double > &  newAlphas  )

virtual

Definition at line 273 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetJointHistogram().

New()

template<typename TInputImage , typename TMaskImage >

static Pointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::New ( )

static

Method for creation through the object factory.

operator=()

template<typename TInputImage , typename TMaskImage >

void anima::GaussianEMEstimator< TInputImage, TMaskImage >::operator= ( const Self &  )

protected

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

SetInitialAlphas()

template<typename TInputImage , typename TMaskImage >

void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInitialAlphas ( std::vector< double > &  theValue )

inline

Definition at line 52 of file animaGaussianEMEstimator.h.

References anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_Alphas.

SetInitialGaussianModel()

template<typename TInputImage , typename TMaskImage >

void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInitialGaussianModel ( std::vector< GaussianFunctionType::Pointer > &  theValue )

inline

Set model to be estimated.

Definition at line 51 of file animaGaussianEMEstimator.h.

References anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_GaussianModel.

SetInputImage1()

template<typename TInputImage , typename TMaskImage >

void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage1

(

const TInputImage *

image

)

The mri images.

Definition at line 13 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

SetInputImage2()

template<typename TInputImage , typename TMaskImage >

void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage2

(

const TInputImage *

image

)

Definition at line 21 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

SetInputImage3()

template<typename TInputImage , typename TMaskImage >

void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage3

(

const TInputImage *

image

)

Definition at line 29 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

SetInputImage4()

template<typename TInputImage , typename TMaskImage >

void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage4

(

const TInputImage *

image

)

Definition at line 37 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

SetInputImage5()

template<typename TInputImage , typename TMaskImage >

void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage5

(

const TInputImage *

image

)

Definition at line 45 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

SetLikelihood()

template<typename TInputImage , typename TMaskImage >

virtual void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetLikelihood ( double  _arg )

virtual

SetMask()

template<typename TInputImage , typename TMaskImage >

void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetMask

(

const TMaskImage *

mask

)

mask in which the segmentation will be performed

Definition at line 7 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

SetMaxIterations()

template<typename TInputImage , typename TMaskImage >

virtual void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetMaxIterations ( unsigned int  _arg )

virtual

SetModelMinDistance()

template<typename TInputImage , typename TMaskImage >

virtual void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetModelMinDistance ( double  _arg )

virtual

SetVerbose()

template<typename TInputImage , typename TMaskImage >

virtual void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetVerbose ( bool  _arg )

virtual

Update()

template<typename TInputImage , typename TMaskImage >

void anima::GaussianEMEstimator< TInputImage, TMaskImage >::Update ( )

virtual

Reimplemented in anima::GaussianREMEstimator< TInputImage, TMaskImage >.

Definition at line 409 of file animaGaussianEMEstimator.hxx.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetJointHistogram().

Member Data Documentation

m_Alphas

template<typename TInputImage , typename TMaskImage >

std::vector<double> anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_Alphas

protected

model to be estimated (and solution if already run)

Definition at line 133 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAlphas(), and anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInitialAlphas().

m_APosterioriProbability

template<typename TInputImage , typename TMaskImage >

GenericContainer anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_APosterioriProbability

protected

Definition at line 125 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().

m_GaussianModel

template<typename TInputImage , typename TMaskImage >

std::vector<GaussianFunctionType::Pointer> anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_GaussianModel

protected

Definition at line 134 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetGaussianModel(), and anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInitialGaussianModel().

m_ImagesVector

template<typename TInputImage , typename TMaskImage >

std::vector<InputImageConstPointer > anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_ImagesVector

protected

Definition at line 142 of file animaGaussianEMEstimator.h.

m_IndexImage1

template<typename TInputImage , typename TMaskImage >

unsigned int anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage1

protected

Definition at line 147 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().

m_IndexImage2

template<typename TInputImage , typename TMaskImage >

unsigned int anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage2

protected

Definition at line 147 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().

m_IndexImage3

template<typename TInputImage , typename TMaskImage >

unsigned int anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage3

protected

Definition at line 147 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().

m_IndexImage4

template<typename TInputImage , typename TMaskImage >

unsigned int anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage4

protected

Definition at line 147 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().

m_IndexImage5

template<typename TInputImage , typename TMaskImage >

unsigned int anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage5

protected

Definition at line 147 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().

m_IndexImage6

template<typename TInputImage , typename TMaskImage >

unsigned int anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage6

protected

Definition at line 147 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().

m_JointHistogram

template<typename TInputImage , typename TMaskImage >

Histogram anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_JointHistogram

protected

joint histogram The points stored here will be used for estimate de model

Definition at line 139 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianREMEstimator< TInputImage, TMaskImage >::GetConcentrationJointHistogram().

m_JointHistogramInitial

template<typename TInputImage , typename TMaskImage >

Histogram anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_JointHistogramInitial

protected

Definition at line 140 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetJointHistogram().

m_Likelihood

template<typename TInputImage , typename TMaskImage >

double anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_Likelihood

protected

Definition at line 148 of file animaGaussianEMEstimator.h.

m_MaxIterations

template<typename TInputImage , typename TMaskImage >

unsigned int anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_MaxIterations

protected

Definition at line 129 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator(), and anima::GaussianREMEstimator< TInputImage, TMaskImage >::GaussianREMEstimator().

m_ModelMinDistance

template<typename TInputImage , typename TMaskImage >

double anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_ModelMinDistance

protected

Definition at line 127 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator(), and anima::GaussianREMEstimator< TInputImage, TMaskImage >::GaussianREMEstimator().

m_NbInputs

template<typename TInputImage , typename TMaskImage >

unsigned int anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_NbInputs

protected

Definition at line 146 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().

m_nbMaxImages

template<typename TInputImage , typename TMaskImage >

unsigned int anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_nbMaxImages

protected

Definition at line 145 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().

m_Verbose

template<typename TInputImage , typename TMaskImage >

bool anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_Verbose

protected

Definition at line 144 of file animaGaussianEMEstimator.h.

Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().

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

• animaGaussianEMEstimator.h
• animaGaussianEMEstimator.hxx