anima::RandomInitializer Class Reference

Class initializing ramdomly a gaussian model. More...

#include <animaRandomInitializer.h>

Inheritance diagram for anima::RandomInitializer:

Collaboration diagram for anima::RandomInitializer:

Public Types
typedef itk::SmartPointer< const Self >	ConstPointer
typedef itk::Statistics::GaussianMembershipFunction< MeasurementVectorType >	GaussianFunctionType
typedef itk::VariableLengthVector< double >	MeasurementVectorType
typedef itk::SmartPointer< Self >	Pointer
typedef RandomInitializer	Self
typedef itk::ProcessObject	Superclass
Public Types inherited from anima::ModelInitializer
typedef itk::SmartPointer< const Self >	ConstPointer
typedef itk::Statistics::GaussianMembershipFunction< MeasurementVectorType >	GaussianFunctionType
typedef itk::VariableLengthVector< double >	MeasurementVectorType
typedef itk::SmartPointer< Self >	Pointer
typedef ModelInitializer	Self
typedef itk::ProcessObject	Superclass

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual unsigned int	GetDimensionGaussian ()
virtual const char *	GetNameOfClass () const
virtual unsigned int	GetNbGaussian ()
virtual void	SetDimensionGaussian (unsigned int _arg)
void	SetMaxValues (std::vector< double > &max)
	Set max values of random means. More...
void	SetMinValues (std::vector< double > &min)
	Set min values of random means. More...
virtual void	SetNbGaussian (unsigned int _arg)
void	Update () ITK_OVERRIDE
Public Member Functions inherited from anima::ModelInitializer
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
std::vector< double >	GetAlphas ()
std::vector< GaussianFunctionType::Pointer >	GetInitialization ()
	returns a new initialization for the model More...
virtual bool	GetVerbose ()
virtual void	SetVerbose (bool _arg)

Static Public Member Functions
static Pointer	New ()
Static Public Member Functions inherited from anima::ModelInitializer
static Pointer	New ()

Protected Member Functions
void	operator= (const Self &)
itk::Statistics::GaussianMembershipFunction< itk::VariableLengthVector< double > >::Pointer	randomDistribution ()
	initilize a Gaussian distribution More...
	RandomInitializer (const Self &)
	RandomInitializer ()
double	randUniform (double min, double max)
virtual	~RandomInitializer ()
Protected Member Functions inherited from anima::ModelInitializer
	ModelInitializer (const Self &)
	ModelInitializer ()
void	operator= (const Self &)
virtual	~ModelInitializer ()

Protected Attributes
unsigned int	m_DimensionGaussian
unsigned int	m_NbGaussian
std::vector< double >	maxValues
	max values More...
std::vector< double >	minValues
	min values More...
Protected Attributes inherited from anima::ModelInitializer
std::vector< double >	m_Alphas
std::vector< GaussianFunctionType::Pointer >	m_GaussianModel
bool	m_Verbose

Detailed Description

Class initializing ramdomly a gaussian model.

Definition at line 13 of file animaRandomInitializer.h.

Member Typedef Documentation

ConstPointer

typedef itk::SmartPointer<const Self> anima::RandomInitializer::ConstPointer

Definition at line 21 of file animaRandomInitializer.h.

GaussianFunctionType

typedef itk::Statistics::GaussianMembershipFunction< MeasurementVectorType > anima::RandomInitializer::GaussianFunctionType

Definition at line 30 of file animaRandomInitializer.h.

MeasurementVectorType

typedef itk::VariableLengthVector<double> anima::RandomInitializer::MeasurementVectorType

Definition at line 29 of file animaRandomInitializer.h.

Pointer

typedef itk::SmartPointer<Self> anima::RandomInitializer::Pointer

Definition at line 20 of file animaRandomInitializer.h.

Self

typedef RandomInitializer anima::RandomInitializer::Self

Standard class typedefs.

Definition at line 18 of file animaRandomInitializer.h.

Superclass

typedef itk::ProcessObject anima::RandomInitializer::Superclass

Definition at line 19 of file animaRandomInitializer.h.

Constructor & Destructor Documentation

RandomInitializer() [1/2]

anima::RandomInitializer::RandomInitializer ( const Self &  )

protected

RandomInitializer() [2/2]

anima::RandomInitializer::RandomInitializer ( )

inlineprotected

Definition at line 52 of file animaRandomInitializer.h.

~RandomInitializer()

virtual anima::RandomInitializer::~RandomInitializer ( )

inlineprotectedvirtual

Definition at line 60 of file animaRandomInitializer.h.

Member Function Documentation

CreateAnother()

virtual::itk::LightObject::Pointer anima::RandomInitializer::CreateAnother

(

void

)

const

GetDimensionGaussian()

virtual unsigned int anima::RandomInitializer::GetDimensionGaussian ( )

virtual

GetNameOfClass()

virtual const char* anima::RandomInitializer::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from anima::ModelInitializer.

GetNbGaussian()

virtual unsigned int anima::RandomInitializer::GetNbGaussian ( )

virtual

New()

static Pointer anima::RandomInitializer::New ( )

static

Method for creation through the object factory.

Referenced by anima::HierarchicalInitializer< TInputImage, TMaskImage >::ComputeSolution1D().

operator=()

void anima::RandomInitializer::operator= ( const Self &  )

protected

randomDistribution()

itk::Statistics::GaussianMembershipFunction< itk::VariableLengthVector< double > >::Pointer anima::RandomInitializer::randomDistribution ( )

protected

initilize a Gaussian distribution

Definition at line 55 of file animaRandomInitializer.cxx.

References m_DimensionGaussian, maxValues, minValues, and randUniform().

Referenced by Update().

randUniform()

double anima::RandomInitializer::randUniform ( double  min, double  max  )

protected

Definition at line 76 of file animaRandomInitializer.cxx.

Referenced by randomDistribution().

SetDimensionGaussian()

virtual void anima::RandomInitializer::SetDimensionGaussian ( unsigned int  _arg )

virtual

SetMaxValues()

void anima::RandomInitializer::SetMaxValues ( std::vector< double > &  max )

inline

Set max values of random means.

Definition at line 40 of file animaRandomInitializer.h.

SetMinValues()

void anima::RandomInitializer::SetMinValues ( std::vector< double > &  min )

inline

Set min values of random means.

Definition at line 36 of file animaRandomInitializer.h.

SetNbGaussian()

virtual void anima::RandomInitializer::SetNbGaussian ( unsigned int  _arg )

virtual

Update()

void anima::RandomInitializer::Update

(

)

Definition at line 6 of file animaRandomInitializer.cxx.

References anima::ModelInitializer::m_Alphas, m_DimensionGaussian, anima::ModelInitializer::m_GaussianModel, m_NbGaussian, maxValues, minValues, and randomDistribution().

Member Data Documentation

m_DimensionGaussian

unsigned int anima::RandomInitializer::m_DimensionGaussian

protected

Definition at line 79 of file animaRandomInitializer.h.

Referenced by randomDistribution(), and Update().

m_NbGaussian

unsigned int anima::RandomInitializer::m_NbGaussian

protected

Definition at line 78 of file animaRandomInitializer.h.

Referenced by Update().

maxValues

std::vector<double> anima::RandomInitializer::maxValues

protected

max values

Definition at line 76 of file animaRandomInitializer.h.

Referenced by randomDistribution(), and Update().

minValues

std::vector<double> anima::RandomInitializer::minValues

protected

min values

Definition at line 72 of file animaRandomInitializer.h.

Referenced by randomDistribution(), and Update().

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

• animaRandomInitializer.h
• animaRandomInitializer.cxx