#include <itkWeightedCovarianceSampleFilter.h>

Inheritance diagram for itk::Statistics::WeightedCovarianceSampleFilter< TSample >:

Collaboration diagram for itk::Statistics::WeightedCovarianceSampleFilter< TSample >:

Public Types
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = WeightedCovarianceSampleFilter

using	Superclass = CovarianceSampleFilter< TSample >

Public Types inherited from itk::Statistics::CovarianceSampleFilter< TSample >
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	SampleType = TSample

using	Self = CovarianceSampleFilter

using	Superclass = ProcessObject

using	MeasurementVectorType = typename SampleType::MeasurementVectorType

using	MeasurementVectorSizeType = typename SampleType::MeasurementVectorSizeType

using	MeasurementType = typename SampleType::MeasurementType

using	MeasurementVectorRealType = typename NumericTraits< MeasurementVectorType >::RealType

using	MeasurementRealType = typename NumericTraits< MeasurementType >::RealType

using	MatrixType = VariableSizeMatrix< MeasurementRealType >

using	MatrixDecoratedType = SimpleDataObjectDecorator< MatrixType >

using	MeasurementVectorDecoratedType = SimpleDataObjectDecorator< MeasurementVectorRealType >

using	OutputType = MeasurementVectorDecoratedType

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

using	DataObjectIdentifierType = DataObject::DataObjectIdentifierType

using	DataObjectPointer = DataObject::Pointer

using	DataObjectPointerArray = std::vector< DataObjectPointer >

using	DataObjectPointerArraySizeType = DataObjectPointerArray::size_type

using	MultiThreaderType = MultiThreaderBase

using	NameArray = std::vector< DataObjectIdentifierType >

using	Pointer = SmartPointer< Self >

using	Self = ProcessObject

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

using	SampleType = typename Superclass::SampleType

using	MeasurementVectorType = typename Superclass::MeasurementVectorType

using	MeasurementVectorSizeType = typename Superclass::MeasurementVectorSizeType

using	MeasurementType = typename Superclass::MeasurementType

using	MeasurementVectorRealType = typename Superclass::MeasurementVectorRealType

using	MeasurementRealType = typename Superclass::MeasurementRealType

using	WeightValueType = double

using	WeightArrayType = Array< WeightValueType >

using	InputWeightArrayObjectType = SimpleDataObjectDecorator< WeightArrayType >

using	WeightingFunctionType = FunctionBase< MeasurementVectorType, WeightValueType >

using	InputWeightingFunctionObjectType = DataObjectDecorator< WeightingFunctionType >

using	MatrixType = typename Superclass::MatrixType

using	MatrixDecoratedType = typename Superclass::MatrixDecoratedType

using	MeasurementVectorDecoratedType = typename Superclass::MeasurementVectorDecoratedType

using	OutputType = typename Superclass::OutputType

virtual const char *	GetNameOfClass () const

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

virtual void	SetWeightsInput (const SimpleDataObjectDecorator< WeightArrayType > *_arg)

virtual void	SetWeights (const WeightArrayType &_arg)

virtual void	SetWeights (const SimpleDataObjectDecorator< WeightArrayType > *_arg)

virtual const SimpleDataObjectDecorator< WeightArrayType > *	GetWeightsInput () const

virtual const WeightArrayType &	GetWeights () const

virtual void	SetWeightingFunctionInput (const DataObjectDecorator< WeightingFunctionType > *_arg)

virtual void	SetInputnumber (const DataObjectDecorator< WeightingFunctionType > *_arg)

virtual const DataObjectDecorator< WeightingFunctionType > *	GetWeightingFunctionInput () const

virtual const DataObjectDecorator< WeightingFunctionType > *	GetInputnumber () const

virtual void	SetWeightingFunction (const WeightingFunctionType *_arg)

virtual const DataObjectDecorator< WeightingFunctionType > *	GetWeightingFunctionInput () const

virtual const WeightingFunctionType *	GetWeightingFunction () const

static Pointer	New ()

	WeightedCovarianceSampleFilter ()

	~WeightedCovarianceSampleFilter () override=default

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

void	GenerateData () override

void	ComputeCovarianceMatrixWithWeightingFunction ()

void	ComputeCovarianceMatrixWithWeights ()

Additional Inherited Members
Public Member Functions inherited from itk::Statistics::CovarianceSampleFilter< TSample >
void	SetInput (const SampleType *sample)

const SampleType *	GetInput () const

const MatrixType	GetCovarianceMatrix () const

const MatrixDecoratedType *	GetCovarianceMatrixOutput () const

const MeasurementVectorRealType	GetMean () const

const MeasurementVectorDecoratedType *	GetMeanOutput () const

MeasurementVectorSizeType	GetMeasurementVectorSize () const

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

virtual void	AbortGenerateDataOn ()

virtual void	EnlargeOutputRequestedRegion (DataObject *)

virtual const bool &	GetAbortGenerateData () const

DataObjectPointerArray	GetIndexedInputs ()

DataObjectPointerArray	GetIndexedOutputs ()

NameArray	GetInputNames () const

DataObjectPointerArray	GetInputs ()

DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const

DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const

DataObjectPointerArraySizeType	GetNumberOfInputs () const

DataObjectPointerArraySizeType	GetNumberOfOutputs () const

virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const

NameArray	GetOutputNames () const

DataObjectPointerArray	GetOutputs ()

virtual float	GetProgress () const

NameArray	GetRequiredInputNames () const

bool	HasInput (const DataObjectIdentifierType &key) const

bool	HasOutput (const DataObjectIdentifierType &key) const

void	IncrementProgress (float increment)

virtual DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)

virtual void	PropagateRequestedRegion (DataObject *output)

virtual void	ResetPipeline ()

virtual void	SetAbortGenerateData (bool _arg)

virtual void	Update ()

virtual void	UpdateLargestPossibleRegion ()

virtual void	UpdateOutputData (DataObject *output)

virtual void	UpdateOutputInformation ()

void	UpdateProgress (float progress)

virtual void	SetReleaseDataFlag (bool val)

virtual bool	GetReleaseDataFlag () const

void	ReleaseDataFlagOn ()

void	ReleaseDataFlagOff ()

virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)

virtual const bool &	GetReleaseDataBeforeUpdateFlag () const

virtual void	ReleaseDataBeforeUpdateFlagOn ()

virtual void	ReleaseDataBeforeUpdateFlagOff ()

virtual void	SetNumberOfWorkUnits (ThreadIdType _arg)

virtual const ThreadIdType &	GetNumberOfWorkUnits () const

MultiThreaderType *	GetMultiThreader () const

void	SetMultiThreader (MultiThreaderType *threader)

virtual void	PrepareOutputs ()

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

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

unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) 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 noexcept override

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
Pointer	Clone () const

virtual void	Delete ()

virtual int	GetReferenceCount () const

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

Static Public Member Functions inherited from itk::Statistics::CovarianceSampleFilter< TSample >
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 val)

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

static Pointer	New ()

Protected Types inherited from itk::Statistics::CovarianceSampleFilter< TSample >
using	DataObjectPointer = DataObject::Pointer

using	DataObjectPointerArraySizeType = ProcessObject::DataObjectPointerArraySizeType

Protected Member Functions inherited from itk::Statistics::CovarianceSampleFilter< TSample >
	CovarianceSampleFilter ()

	~CovarianceSampleFilter () override=default

DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType index) override

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

	~ProcessObject () override

DataObject *	GetInput (const DataObjectIdentifierType &key)

const DataObject *	GetInput (const DataObjectIdentifierType &key) const

DataObject *	GetInput (DataObjectPointerArraySizeType idx)

const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const

virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)

virtual void	SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)

virtual void	AddInput (DataObject *input)

virtual void	PushBackInput (const DataObject *input)

virtual void	PopBackInput ()

virtual void	PushFrontInput (const DataObject *input)

virtual void	PopFrontInput ()

virtual void	RemoveInput (const DataObjectIdentifierType &key)

virtual void	RemoveInput (DataObjectPointerArraySizeType)

DataObject *	GetPrimaryInput ()

const DataObject *	GetPrimaryInput () const

virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryInputName () const

virtual void	SetPrimaryInput (DataObject *object)

void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)

virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const

bool	RemoveRequiredInputName (const DataObjectIdentifierType &)

bool	IsRequiredInputName (const DataObjectIdentifierType &) const

void	SetRequiredInputNames (const NameArray &)

bool	AddRequiredInputName (const DataObjectIdentifierType &)

bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

void	AddOptionalInputName (const DataObjectIdentifierType &)

void	AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

DataObject *	GetOutput (const DataObjectIdentifierType &key)

const DataObject *	GetOutput (const DataObjectIdentifierType &key) const

virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryOutputName () const

DataObject *	GetOutput (DataObjectPointerArraySizeType i)

const DataObject *	GetOutput (DataObjectPointerArraySizeType i) const

virtual void	SetOutput (const DataObjectIdentifierType &name, DataObject *output)

virtual void	RemoveOutput (const DataObjectIdentifierType &key)

DataObject *	GetPrimaryOutput ()

const DataObject *	GetPrimaryOutput () const

virtual void	SetPrimaryOutput (DataObject *object)

virtual void	SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)

virtual void	AddOutput (DataObject *output)

virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)

virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const

void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)

DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const

DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const

DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const

DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const

bool	IsIndexedInputName (const DataObjectIdentifierType &) const

bool	IsIndexedOutputName (const DataObjectIdentifierType &) const

virtual void	VerifyPreconditions () ITKv5_CONST

virtual void	VerifyInputInformation () ITKv5_CONST

virtual void	GenerateInputRequestedRegion ()

virtual void	GenerateOutputRequestedRegion (DataObject *output)

virtual void	GenerateOutputInformation ()

virtual void	PropagateResetPipeline ()

virtual void	ReleaseInputs ()

virtual void	CacheInputReleaseDataFlags ()

virtual void	RestoreInputReleaseDataFlags ()

virtual bool	GetThreaderUpdateProgress () const

virtual void	ThreaderUpdateProgressOn ()

virtual void	ThreaderUpdateProgressOff ()

virtual void	SetThreaderUpdateProgress (bool arg)

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

	~Object () override

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

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

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 ()

Static Protected Member Functions inherited from itk::ProcessObject
static constexpr float	progressFixedToFloat (uint32_t fixed)

static uint32_t	progressFloatToFixed (float f)

Protected Attributes inherited from itk::ProcessObject
bool	m_Updating

TimeStamp	m_OutputInformationMTime

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

Detailed Description

template<typename TSample>
class itk::Statistics::WeightedCovarianceSampleFilter< TSample >

Calculates the covariance matrix of the target sample data. where each measurement vector has an associated weight value.

Weight values can be specified in two ways: using a weighting function or an array containing weight values. If none of these two is specified, the covariance matrix is generated with equal weights.

See also: CovarianceSampleFilter

Examples: Examples/Statistics/WeightedSampleStatistics.cxx.

Definition at line 44 of file itkWeightedCovarianceSampleFilter.h.

Member Typedef Documentation

◆ ConstPointer

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::ConstPointer = SmartPointer<const Self>

Definition at line 53 of file itkWeightedCovarianceSampleFilter.h.

◆ InputWeightArrayObjectType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::InputWeightArrayObjectType = SimpleDataObjectDecorator<WeightArrayType>

Type of DataObjects to use for the weight array type

Definition at line 79 of file itkWeightedCovarianceSampleFilter.h.

◆ InputWeightingFunctionObjectType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::InputWeightingFunctionObjectType = DataObjectDecorator<WeightingFunctionType>

Type of DataObjects to use for Weight function

Definition at line 89 of file itkWeightedCovarianceSampleFilter.h.

◆ MatrixDecoratedType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MatrixDecoratedType = typename Superclass::MatrixDecoratedType

Types derived from the base class

Definition at line 97 of file itkWeightedCovarianceSampleFilter.h.

◆ MatrixType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MatrixType = typename Superclass::MatrixType

Types derived from the base class

Definition at line 96 of file itkWeightedCovarianceSampleFilter.h.

◆ MeasurementRealType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementRealType = typename Superclass::MeasurementRealType

Types derived from the base class

Definition at line 68 of file itkWeightedCovarianceSampleFilter.h.

◆ MeasurementType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementType = typename Superclass::MeasurementType

Types derived from the base class

Definition at line 64 of file itkWeightedCovarianceSampleFilter.h.

◆ MeasurementVectorDecoratedType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementVectorDecoratedType = typename Superclass::MeasurementVectorDecoratedType

Types derived from the base class

Definition at line 100 of file itkWeightedCovarianceSampleFilter.h.

◆ MeasurementVectorRealType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementVectorRealType = typename Superclass::MeasurementVectorRealType

Types derived from the base class

Definition at line 67 of file itkWeightedCovarianceSampleFilter.h.

◆ MeasurementVectorSizeType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementVectorSizeType = typename Superclass::MeasurementVectorSizeType

Types derived from the base class

Definition at line 63 of file itkWeightedCovarianceSampleFilter.h.

◆ MeasurementVectorType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementVectorType = typename Superclass::MeasurementVectorType

Types derived from the base class

Definition at line 62 of file itkWeightedCovarianceSampleFilter.h.

◆ OutputType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::OutputType = typename Superclass::OutputType

Types derived from the base class

Definition at line 101 of file itkWeightedCovarianceSampleFilter.h.

◆ Pointer

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::Pointer = SmartPointer<Self>

Definition at line 52 of file itkWeightedCovarianceSampleFilter.h.

◆ SampleType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::SampleType = typename Superclass::SampleType

Types derived from the base class

Definition at line 61 of file itkWeightedCovarianceSampleFilter.h.

◆ Self

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::Self = WeightedCovarianceSampleFilter

Standard class type aliases.

Definition at line 50 of file itkWeightedCovarianceSampleFilter.h.

◆ Superclass

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::Superclass = CovarianceSampleFilter<TSample>

Definition at line 51 of file itkWeightedCovarianceSampleFilter.h.

◆ WeightArrayType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightArrayType = Array<WeightValueType>

Array type for weights

Definition at line 76 of file itkWeightedCovarianceSampleFilter.h.

◆ WeightingFunctionType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightingFunctionType = FunctionBase<MeasurementVectorType, WeightValueType>

Weight calculation function type

Definition at line 86 of file itkWeightedCovarianceSampleFilter.h.

◆ WeightValueType

template<typename TSample >

using itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightValueType = double

Type of weight values

Definition at line 72 of file itkWeightedCovarianceSampleFilter.h.

Constructor & Destructor Documentation

◆ WeightedCovarianceSampleFilter()

template<typename TSample >

itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightedCovarianceSampleFilter ( )

protected

Types derived from the base class

◆ ~WeightedCovarianceSampleFilter()

template<typename TSample >

itk::Statistics::WeightedCovarianceSampleFilter< TSample >::~WeightedCovarianceSampleFilter ( )

overrideprotecteddefault

Types derived from the base class

Member Function Documentation

◆ ComputeCovarianceMatrixWithWeightingFunction()

template<typename TSample >

void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::ComputeCovarianceMatrixWithWeightingFunction ( )

protected

Compute covariance matrix with weights computed from a function

◆ ComputeCovarianceMatrixWithWeights()

template<typename TSample >

void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::ComputeCovarianceMatrixWithWeights ( )

protected

Compute covariance matrix with weights specified in an array

◆ CreateAnother()

template<typename TSample >

virtual::itk::LightObject::Pointer itk::Statistics::WeightedCovarianceSampleFilter< TSample >::CreateAnother ( ) const

virtual

Types derived from the base class

Reimplemented from itk::Statistics::CovarianceSampleFilter< TSample >.

◆ GenerateData()

template<typename TSample >

void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::GenerateData ( )

overrideprotectedvirtual

Types derived from the base class

Reimplemented from itk::Statistics::CovarianceSampleFilter< TSample >.

◆ GetInputnumber()

template<typename TSample >

virtual const DataObjectDecorator< WeightingFunctionType >* itk::Statistics::WeightedCovarianceSampleFilter< TSample >::GetInputnumber ( ) const

virtual

Types derived from the base class

◆ GetNameOfClass()

template<typename TSample >

virtual const char* itk::Statistics::WeightedCovarianceSampleFilter< TSample >::GetNameOfClass ( ) const

virtual

Standard Macros

Reimplemented from itk::Statistics::CovarianceSampleFilter< TSample >.

◆ GetWeightingFunction()

template<typename TSample >

virtual const WeightingFunctionType* itk::Statistics::WeightedCovarianceSampleFilter< TSample >::GetWeightingFunction ( ) const

virtual

Types derived from the base class

◆ GetWeightingFunctionInput() [1/2]

template<typename TSample >

virtual const DataObjectDecorator< WeightingFunctionType >* itk::Statistics::WeightedCovarianceSampleFilter< TSample >::GetWeightingFunctionInput ( ) const

virtual

Types derived from the base class

◆ GetWeightingFunctionInput() [2/2]

template<typename TSample >

virtual const DataObjectDecorator< WeightingFunctionType >* itk::Statistics::WeightedCovarianceSampleFilter< TSample >::GetWeightingFunctionInput ( ) const

virtual

Types derived from the base class

◆ GetWeights()

template<typename TSample >

virtual const WeightArrayType& itk::Statistics::WeightedCovarianceSampleFilter< TSample >::GetWeights ( ) const

virtual

Types derived from the base class

◆ GetWeightsInput()

template<typename TSample >

virtual const SimpleDataObjectDecorator< WeightArrayType >* itk::Statistics::WeightedCovarianceSampleFilter< TSample >::GetWeightsInput ( ) const

virtual

Types derived from the base class

◆ New()

template<typename TSample >

static Pointer itk::Statistics::WeightedCovarianceSampleFilter< TSample >::New ( )

static

Types derived from the base class

◆ PrintSelf()

template<typename TSample >

void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

overrideprotectedvirtual

Types derived from the base class

Reimplemented from itk::Statistics::CovarianceSampleFilter< TSample >.

◆ SetInputnumber()

template<typename TSample >

virtual void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::SetInputnumber ( const DataObjectDecorator< WeightingFunctionType > * _arg )

virtual

Types derived from the base class

◆ SetWeightingFunction()

template<typename TSample >

virtual void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::SetWeightingFunction ( const WeightingFunctionType * _arg )

virtual

Types derived from the base class

◆ SetWeightingFunctionInput()

template<typename TSample >

virtual void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::SetWeightingFunctionInput ( const DataObjectDecorator< WeightingFunctionType > * _arg )

virtual

Method to set/get the weighting function

◆ SetWeights() [1/2]

template<typename TSample >

virtual void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::SetWeights ( const SimpleDataObjectDecorator< WeightArrayType > * _arg )

virtual

Types derived from the base class

◆ SetWeights() [2/2]

template<typename TSample >

virtual void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::SetWeights ( const WeightArrayType & _arg )

virtual

Types derived from the base class

◆ SetWeightsInput()

template<typename TSample >

virtual void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::SetWeightsInput ( const SimpleDataObjectDecorator< WeightArrayType > * _arg )

virtual

Method to set the input value of the weight array

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

itkWeightedCovarianceSampleFilter.h

Public Types

Additional Inherited Members

Detailed Description

template<typename TSample> class itk::Statistics::WeightedCovarianceSampleFilter< TSample >

Member Typedef Documentation

◆ ConstPointer

◆ InputWeightArrayObjectType

◆ InputWeightingFunctionObjectType

◆ MatrixDecoratedType

◆ MatrixType

◆ MeasurementRealType

◆ MeasurementType

◆ MeasurementVectorDecoratedType

◆ MeasurementVectorRealType

◆ MeasurementVectorSizeType

◆ MeasurementVectorType

◆ OutputType

◆ Pointer

◆ SampleType

◆ Self

◆ Superclass

◆ WeightArrayType

◆ WeightingFunctionType

◆ WeightValueType

Constructor & Destructor Documentation

◆ WeightedCovarianceSampleFilter()

◆ ~WeightedCovarianceSampleFilter()

Member Function Documentation

◆ ComputeCovarianceMatrixWithWeightingFunction()

◆ ComputeCovarianceMatrixWithWeights()

◆ CreateAnother()

◆ GenerateData()

◆ GetInputnumber()

◆ GetNameOfClass()

◆ GetWeightingFunction()

◆ GetWeightingFunctionInput() [1/2]

◆ GetWeightingFunctionInput() [2/2]

◆ GetWeights()

◆ GetWeightsInput()

◆ New()

◆ PrintSelf()

◆ SetInputnumber()

◆ SetWeightingFunction()

◆ SetWeightingFunctionInput()

◆ SetWeights() [1/2]

◆ SetWeights() [2/2]

◆ SetWeightsInput()

template<typename TSample>
class itk::Statistics::WeightedCovarianceSampleFilter< TSample >