itk::Statistics::WeightedCovarianceSampleFilter< TSample > Class Template Reference

#include <itkWeightedCovarianceSampleFilter.h>

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

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

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 43 of file itkWeightedCovarianceSampleFilter.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef SimpleDataObjectDecorator < WeightArrayType >	InputWeightArrayObjectType
typedef DataObjectDecorator < WeightingFunctionType >	InputWeightingFunctionObjectType
typedef Superclass::MatrixDecoratedType	MatrixDecoratedType
typedef Superclass::MatrixType	MatrixType
typedef Superclass::MeasurementRealType	MeasurementRealType
typedef Superclass::MeasurementType	MeasurementType
typedef Superclass::MeasurementVectorDecoratedType	MeasurementVectorDecoratedType
typedef Superclass::MeasurementVectorRealType	MeasurementVectorRealType
typedef Superclass::MeasurementVectorSizeType	MeasurementVectorSizeType
typedef Superclass::MeasurementVectorType	MeasurementVectorType
typedef Superclass::OutputType	OutputType
typedef SmartPointer< Self >	Pointer
typedef Superclass::SampleType	SampleType
typedef WeightedCovarianceSampleFilter	Self
typedef CovarianceSampleFilter < TSample >	Superclass
typedef Array< WeightValueType >	WeightArrayType
typedef FunctionBase < MeasurementVectorType, WeightValueType >	WeightingFunctionType
typedef double	WeightValueType
Public Types inherited from itk::Statistics::CovarianceSampleFilter< TSample >
typedef SmartPointer< const Self >	ConstPointer
typedef SimpleDataObjectDecorator < MatrixType >	MatrixDecoratedType
typedef VariableSizeMatrix < MeasurementRealType >	MatrixType
typedef NumericTraits < MeasurementType >::RealType	MeasurementRealType
typedef SampleType::MeasurementType	MeasurementType
typedef SimpleDataObjectDecorator < MeasurementVectorRealType >	MeasurementVectorDecoratedType
typedef NumericTraits < MeasurementVectorType > ::RealType	MeasurementVectorRealType
typedef SampleType::MeasurementVectorSizeType	MeasurementVectorSizeType
typedef SampleType::MeasurementVectorType	MeasurementVectorType
typedef MeasurementVectorDecoratedType	OutputType
typedef SmartPointer< Self >	Pointer
typedef TSample	SampleType
typedef CovarianceSampleFilter	Self
typedef ProcessObject	Superclass
Public Types inherited from itk::ProcessObject
typedef SmartPointer< const Self >	ConstPointer
typedef DataObject::DataObjectIdentifierType	DataObjectIdentifierType
typedef DataObject::Pointer	DataObjectPointer
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef DataObjectPointerArray::size_type	DataObjectPointerArraySizeType
typedef std::vector < DataObjectIdentifierType >	NameArray
typedef SmartPointer< Self >	Pointer
typedef ProcessObject	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 const DataObjectDecorator < WeightingFunctionType > *	GetInputnumber () const
virtual const WeightingFunctionType *	GetWeightingFunction () const
virtual const DataObjectDecorator < WeightingFunctionType > *	GetWeightingFunctionInput () const
virtual const DataObjectDecorator < WeightingFunctionType > *	GetWeightingFunctionInput () const
virtual const WeightArrayType &	GetWeights () const
virtual const SimpleDataObjectDecorator < WeightArrayType > *	GetWeightsInput () const
virtual void	SetInputnumber (const DataObjectDecorator< WeightingFunctionType > *_arg)
virtual void	SetWeightingFunction (const WeightingFunctionType *_arg)
virtual void	SetWeightingFunctionInput (const DataObjectDecorator< WeightingFunctionType > *_arg)
virtual void	SetWeights (const WeightArrayType &_arg)
virtual void	SetWeights (const SimpleDataObjectDecorator< WeightArrayType > *_arg)
virtual void	SetWeightsInput (const SimpleDataObjectDecorator< WeightArrayType > *_arg)
Public Member Functions inherited from itk::Statistics::CovarianceSampleFilter< TSample >
const MatrixType	GetCovarianceMatrix () const
const MatrixDecoratedType *	GetCovarianceMatrixOutput () const
const SampleType *	GetInput () const
const MeasurementVectorRealType	GetMean () const
const MeasurementVectorDecoratedType *	GetMeanOutput () const
MeasurementVectorSizeType	GetMeasurementVectorSize () const
void	SetInput (const SampleType *sample)
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 ()
MultiThreader *	GetMultiThreader () const
DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const
DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const
DataObjectPointerArraySizeType	GetNumberOfInputs () const
DataObjectPointerArraySizeType	GetNumberOfOutputs () const
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
NameArray	GetOutputNames () const
DataObjectPointerArray	GetOutputs ()
virtual const float &	GetProgress () const
NameArray	GetRequiredInputNames () const
bool	HasInput (const DataObjectIdentifierType &key) const
bool	HasOutput (const DataObjectIdentifierType &key) const
virtual DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)
virtual void	PrepareOutputs ()
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)
void	SetProgress (float progress)
virtual void	SetReleaseDataFlag (bool flag)
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	SetNumberOfThreads (ThreadIdType _arg)
virtual const ThreadIdType &	GetNumberOfThreads () 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
virtual void	Register () const override
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int) override
virtual void	UnRegister () const noexceptoverride
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

Protected Member Functions
void	ComputeCovarianceMatrixWithWeightingFunction ()
void	ComputeCovarianceMatrixWithWeights ()
void	GenerateData () override
void	PrintSelf (std::ostream &os, Indent indent) const override
	WeightedCovarianceSampleFilter ()
virtual	~WeightedCovarianceSampleFilter ()
Protected Member Functions inherited from itk::Statistics::CovarianceSampleFilter< TSample >
	CovarianceSampleFilter ()
virtual DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType idx) override
virtual	~CovarianceSampleFilter ()
Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)
virtual void	AddOutput (DataObject *output)
bool	AddRequiredInputName (const DataObjectIdentifierType &)
bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
virtual void	CacheInputReleaseDataFlags ()
virtual void	GenerateInputRequestedRegion ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
DataObject *	GetInput (const DataObjectIdentifierType &key)
const DataObject *	GetInput (const DataObjectIdentifierType &key) const
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const
bool	IsIndexedInputName (const DataObjectIdentifierType &) const
bool	IsIndexedOutputName (const DataObjectIdentifierType &) const
bool	IsRequiredInputName (const DataObjectIdentifierType &) const
	itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
	itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
	itkLegacyMacro (virtual void RemoveInput(DataObject *input))
	itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const
DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
virtual void	PopBackInput ()
virtual void	PopFrontInput ()
	ProcessObject ()
virtual void	PropagateResetPipeline ()
virtual void	PushBackInput (const DataObject *input)
virtual void	PushFrontInput (const DataObject *input)
virtual void	ReleaseInputs ()
virtual void	RemoveInput (const DataObjectIdentifierType &key)
virtual void	RemoveInput (DataObjectPointerArraySizeType)
virtual void	RemoveOutput (const DataObjectIdentifierType &key)
virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)
bool	RemoveRequiredInputName (const DataObjectIdentifierType &)
virtual void	RestoreInputReleaseDataFlags ()
virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)
virtual void	SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
virtual void	SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
virtual void	SetOutput (const DataObjectIdentifierType &key, DataObject *output)
virtual void	SetPrimaryInput (DataObject *input)
virtual void	SetPrimaryOutput (DataObject *output)
void	SetRequiredInputNames (const NameArray &)
virtual void	VerifyInputInformation ()
virtual void	VerifyPreconditions ()
	~ProcessObject ()
DataObject *	GetInput (DataObjectPointerArraySizeType idx)
const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryInput ()
const DataObject *	GetPrimaryInput () const
virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)
virtual const char *	GetPrimaryInputName (void) const
DataObject *	GetOutput (const DataObjectIdentifierType &key)
const DataObject *	GetOutput (const DataObjectIdentifierType &key) const
virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)
virtual const char *	GetPrimaryOutputName (void) const
DataObject *	GetOutput (DataObjectPointerArraySizeType idx)
const DataObject *	GetOutput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryOutput ()
const DataObject *	GetPrimaryOutput () const
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 Member Functions
void	operator= (const Self &) ITK_DELETE_FUNCTION
	WeightedCovarianceSampleFilter (const Self &) ITK_DELETE_FUNCTION
virtual const char *	GetNameOfClass () const
virtual ::itk::LightObject::Pointer	CreateAnother () const
static Pointer	New ()

Additional Inherited Members
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 flag)
Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()
static Pointer	New ()
Protected Types inherited from itk::Statistics::CovarianceSampleFilter< TSample >
typedef DataObject::Pointer	DataObjectPointer
typedef ProcessObject::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType
Protected Attributes inherited from itk::ProcessObject
TimeStamp	m_OutputInformationMTime
bool	m_Updating
Protected Attributes inherited from itk::LightObject
AtomicInt< int >	m_ReferenceCount

Member Typedef Documentation

template<typename TSample >

typedef SmartPointer< const Self > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::ConstPointer

Definition at line 51 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef SimpleDataObjectDecorator< WeightArrayType > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::InputWeightArrayObjectType

Type of DataObjects to use for the weight array type

Definition at line 77 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef DataObjectDecorator< WeightingFunctionType > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::InputWeightingFunctionObjectType

Type of DataObjects to use for Weight function

Definition at line 87 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef Superclass::MatrixDecoratedType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MatrixDecoratedType

Definition at line 95 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef Superclass::MatrixType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MatrixType

Types derived from the base class

Definition at line 90 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef Superclass::MeasurementRealType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementRealType

Definition at line 66 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef Superclass::MeasurementType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementType

Definition at line 62 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef Superclass::MeasurementVectorDecoratedType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementVectorDecoratedType

Types derived from the base class

Definition at line 98 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef Superclass::MeasurementVectorRealType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementVectorRealType

Types derived from the base class

Definition at line 65 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef Superclass::MeasurementVectorSizeType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementVectorSizeType

Definition at line 61 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef Superclass::MeasurementVectorType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementVectorType

Definition at line 60 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef Superclass::OutputType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::OutputType

Definition at line 99 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef SmartPointer< Self > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::Pointer

Definition at line 50 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef Superclass::SampleType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::SampleType

Types derived from the base class

Definition at line 55 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef WeightedCovarianceSampleFilter itk::Statistics::WeightedCovarianceSampleFilter< TSample >::Self

Standard class typedefs.

Definition at line 48 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef CovarianceSampleFilter< TSample > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::Superclass

Definition at line 49 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef Array< WeightValueType > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightArrayType

Array type for weights

Definition at line 74 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

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

Weight calculation function type

Definition at line 80 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

typedef double itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightValueType

Type of weight values

Definition at line 70 of file itkWeightedCovarianceSampleFilter.h.

Constructor & Destructor Documentation

template<typename TSample >

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

protected

template<typename TSample >

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

protectedvirtual

template<typename TSample >

itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightedCovarianceSampleFilter ( const Self &  )

private

Member Function Documentation

template<typename TSample >

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

protected

Compute covariance matrix with weights computed from a function

template<typename TSample >

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

protected

Compute covariance matrix with weights specified in an array

template<typename TSample >

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

virtual

Standard Macros

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

template<typename TSample >

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

overrideprotectedvirtual

This method causes the filter to generate its output.

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

template<typename TSample >

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

virtual

template<typename TSample >

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

virtual

Standard Macros

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

template<typename TSample >

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

virtual

template<typename TSample >

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

virtual

template<typename TSample >

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

virtual

template<typename TSample >

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

virtual

template<typename TSample >

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

virtual

template<typename TSample >

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

static

Standard Macros

template<typename TSample >

void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::operator= ( const Self &  )

private

template<typename TSample >

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

overrideprotectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

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

template<typename TSample >

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

virtual

template<typename TSample >

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

virtual

template<typename TSample >

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

virtual

Method to set/get the weighting function

template<typename TSample >

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

virtual

template<typename TSample >

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

virtual

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

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

• itkWeightedCovarianceSampleFilter.h