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
using	ConstPointer = SmartPointer< const Self >
using	InputWeightArrayObjectType = SimpleDataObjectDecorator< WeightArrayType >
using	InputWeightingFunctionObjectType = DataObjectDecorator< WeightingFunctionType >
using	MatrixDecoratedType = typename Superclass::MatrixDecoratedType
using	MatrixType = typename Superclass::MatrixType
using	MeasurementRealType = typename Superclass::MeasurementRealType
using	MeasurementType = typename Superclass::MeasurementType
using	MeasurementVectorDecoratedType = typename Superclass::MeasurementVectorDecoratedType
using	MeasurementVectorRealType = typename Superclass::MeasurementVectorRealType
using	MeasurementVectorSizeType = typename Superclass::MeasurementVectorSizeType
using	MeasurementVectorType = typename Superclass::MeasurementVectorType
using	OutputType = typename Superclass::OutputType
using	Pointer = SmartPointer< Self >
using	SampleType = typename Superclass::SampleType
using	Self = WeightedCovarianceSampleFilter
using	Superclass = CovarianceSampleFilter< TSample >
using	WeightArrayType = Array< WeightValueType >
using	WeightingFunctionType = FunctionBase< MeasurementVectorType, WeightValueType >
using	WeightValueType = double
Public Types inherited from itk::Statistics::CovarianceSampleFilter< TSample >
using	ConstPointer = SmartPointer< const Self >
using	MatrixDecoratedType = SimpleDataObjectDecorator< MatrixType >
using	MatrixType = VariableSizeMatrix< MeasurementRealType >
using	MeasurementRealType = typename NumericTraits< MeasurementType >::RealType
using	MeasurementType = typename SampleType::MeasurementType
using	MeasurementVectorDecoratedType = SimpleDataObjectDecorator< MeasurementVectorRealType >
using	MeasurementVectorRealType = typename NumericTraits< MeasurementVectorType >::RealType
using	MeasurementVectorSizeType = typename SampleType::MeasurementVectorSizeType
using	MeasurementVectorType = typename SampleType::MeasurementVectorType
using	OutputType = MeasurementVectorDecoratedType
using	Pointer = SmartPointer< Self >
using	SampleType = TSample
using	Self = CovarianceSampleFilter
using	Superclass = ProcessObject
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

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 ()
MultiThreaderType *	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)
void	SetMultiThreader (MultiThreaderType *threader)
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (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	SetNumberOfWorkUnits (ThreadIdType _arg)
virtual const ThreadIdType &	GetNumberOfWorkUnits () 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
void	Register () const override
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetReferenceCount (int) override
void	UnRegister () const noexceptoverride
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
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 ()
	~WeightedCovarianceSampleFilter () override=default
Protected Member Functions inherited from itk::Statistics::CovarianceSampleFilter< TSample >
	CovarianceSampleFilter ()
DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType idx) override
	~CovarianceSampleFilter () override=default
Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)
void	AddOptionalInputName (const DataObjectIdentifierType &)
void	AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
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
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 () ITKv5_CONST
virtual void	VerifyPreconditions () ITKv5_CONST
	~ProcessObject () override
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 () const
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 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)
	~Object () override
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 ()
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 >
using	DataObjectPointer = DataObject::Pointer
using	DataObjectPointerArraySizeType = ProcessObject::DataObjectPointerArraySizeType
Protected Attributes inherited from itk::ProcessObject
TimeStamp	m_OutputInformationMTime
bool	m_Updating
Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount

Member Typedef Documentation

template<typename TSample >

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

Definition at line 53 of file itkWeightedCovarianceSampleFilter.h.

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.

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.

template<typename TSample >

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

Definition at line 97 of file itkWeightedCovarianceSampleFilter.h.

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.

template<typename TSample >

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

Definition at line 68 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

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

Definition at line 64 of file itkWeightedCovarianceSampleFilter.h.

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.

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.

template<typename TSample >

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

Definition at line 63 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

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

Definition at line 62 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

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

Definition at line 101 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

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

Definition at line 52 of file itkWeightedCovarianceSampleFilter.h.

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.

template<typename TSample >

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

Standard class type aliases.

Definition at line 50 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

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

Definition at line 51 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

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

Array type for weights

Definition at line 76 of file itkWeightedCovarianceSampleFilter.h.

template<typename TSample >

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

Weight calculation function type

Definition at line 86 of file itkWeightedCovarianceSampleFilter.h.

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

template<typename TSample >

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

protected

template<typename TSample >

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

overrideprotecteddefault

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 >::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

---

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

• itkWeightedCovarianceSampleFilter.h