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Public Types | Public Member Functions | Protected Member Functions | List of all members
itk::Statistics::WeightedCovarianceSampleFilter< TSample > Class Template Reference
Group Numerics » Module ITKStatistics

#include <itkWeightedCovarianceSampleFilter.h>

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.

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

Public Types

using ConstPointer = SmartPointer<const Self>
 
using InputWeightArrayObjectType = SimpleDataObjectDecorator<WeightArrayType>
 
using InputWeightingFunctionObjectType = DataObjectDecorator<WeightingFunctionType>
 
using MatrixDecoratedType
 
using MatrixType
 
using MeasurementRealType
 
using MeasurementType
 
using MeasurementVectorDecoratedType
 
using MeasurementVectorRealType
 
using MeasurementVectorSizeType
 
using MeasurementVectorType
 
using OutputType
 
using Pointer = SmartPointer<Self>
 
using 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 DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArraySizeType = ProcessObject::DataObjectPointerArraySizeType
 
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 SimpleDataObjectDecorator< WeightArrayType > *_arg)
 
virtual void SetWeights (const 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
 
virtual DataObjectPointer MakeOutput (const DataObjectIdentifierType &)
 
DataObjectPointer MakeOutput (DataObjectPointerArraySizeType index) override
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
void SetInput (const SampleType *sample)
 
- Public Member Functions inherited from itk::ProcessObject
virtual void AbortGenerateDataOff ()
 
virtual void AbortGenerateDataOn ()
 
virtual void EnlargeOutputRequestedRegion (DataObject *output)
 
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 float GetProgress () const
 
NameArray GetRequiredInputNames () const
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
void IncrementProgress (float increment)
 
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 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
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *cmd) 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) const
 
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
 

Protected Member Functions

void ComputeCovarianceMatrixWithWeightingFunction ()
 
void ComputeCovarianceMatrixWithWeights ()
 
void GenerateData () override
 
 WeightedCovarianceSampleFilter ()
 
 ~WeightedCovarianceSampleFilter () override=default
 
- Protected Member Functions inherited from itk::Statistics::CovarianceSampleFilter< TSample >
 CovarianceSampleFilter ()
 
void PrintSelf (std::ostream &os, Indent indent) const 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 ()
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
 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 SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual void SetOutput (const DataObjectIdentifierType &name, DataObject *output)
 
virtual void SetPrimaryInput (DataObject *object)
 
virtual void SetPrimaryOutput (DataObject *object)
 
void SetRequiredInputNames (const NameArray &)
 
virtual void VerifyInputInformation () const
 
virtual void VerifyPreconditions () 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 i)
 
const DataObject * GetOutput (DataObjectPointerArraySizeType i) const
 
DataObject * GetPrimaryOutput ()
 
const DataObject * GetPrimaryOutput () const
 
virtual bool GetThreaderUpdateProgress () const
 
virtual void ThreaderUpdateProgressOn ()
 
virtual void ThreaderUpdateProgressOff ()
 
virtual void SetThreaderUpdateProgress (bool arg)
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &timeStamp)
 
 ~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 ()
 
const char * GetNameOfClass () const override
 
virtual::itk::LightObject::Pointer CreateAnother () const
 
static Pointer New ()
 

Additional Inherited Members

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 ()
 
- Static Protected Member Functions inherited from itk::ProcessObject
template<typename TSourceObject>
static void MakeRequiredOutputs (TSourceObject &sourceObject, const DataObjectPointerArraySizeType numberOfRequiredOutputs)
 
static constexpr float progressFixedToFloat (uint32_t fixed)
 
static uint32_t progressFloatToFixed (float f)
 
- 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

◆ 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::CovarianceSampleFilter< TSample >::MatrixDecoratedType

VariableSizeMatrix is not a DataObject, we need to decorate it to push it down a ProcessObject's pipeline

Definition at line 105 of file itkCovarianceSampleFilter.h.

◆ MatrixType

template<typename TSample>
using itk::Statistics::CovarianceSampleFilter< TSample >::MatrixType

Type of covariance matrix output

Definition at line 97 of file itkCovarianceSampleFilter.h.

◆ MeasurementRealType

template<typename TSample>
using itk::Statistics::CovarianceSampleFilter< TSample >::MeasurementRealType

Type of a floating point measurement component value

Definition at line 83 of file itkCovarianceSampleFilter.h.

◆ MeasurementType

template<typename TSample>
using itk::Statistics::CovarianceSampleFilter< TSample >::MeasurementType

Type of measurement vector component value

Definition at line 77 of file itkCovarianceSampleFilter.h.

◆ MeasurementVectorDecoratedType

template<typename TSample>
using itk::Statistics::CovarianceSampleFilter< TSample >::MeasurementVectorDecoratedType

MeasurementVector is not a DataObject, we need to decorate it to push it down a ProcessObject's pipeline

Definition at line 116 of file itkCovarianceSampleFilter.h.

◆ MeasurementVectorRealType

template<typename TSample>
using itk::Statistics::CovarianceSampleFilter< TSample >::MeasurementVectorRealType

Type of a measurement vector, holding floating point values

Definition at line 80 of file itkCovarianceSampleFilter.h.

◆ MeasurementVectorSizeType

template<typename TSample>
using itk::Statistics::CovarianceSampleFilter< TSample >::MeasurementVectorSizeType

Type of the length of each measurement vector

Definition at line 74 of file itkCovarianceSampleFilter.h.

◆ MeasurementVectorType

template<typename TSample>
using itk::Statistics::CovarianceSampleFilter< TSample >::MeasurementVectorType

Type of each measurement vector in sample

Definition at line 71 of file itkCovarianceSampleFilter.h.

◆ OutputType

template<typename TSample>
using itk::Statistics::CovarianceSampleFilter< TSample >::OutputType

Definition at line 119 of file itkCovarianceSampleFilter.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::CovarianceSampleFilter< TSample >::SampleType

Definition at line 63 of file itkCovarianceSampleFilter.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

Referenced by GetNameOfClass().

◆ ~WeightedCovarianceSampleFilter()

template<typename TSample>
itk::Statistics::WeightedCovarianceSampleFilter< TSample >::~WeightedCovarianceSampleFilter ( )
overrideprotecteddefault

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
See also
LightObject::GetNameOfClass()

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

◆ GenerateData()

template<typename TSample>
void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::GenerateData ( )
overrideprotectedvirtual

This method causes the filter to generate its output.

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

◆ GetInputnumber()

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

◆ GetNameOfClass()

template<typename TSample>
const char * itk::Statistics::WeightedCovarianceSampleFilter< TSample >::GetNameOfClass ( ) const
overridevirtual
See also
LightObject::GetNameOfClass()

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

References WeightedCovarianceSampleFilter().

◆ GetWeightingFunction()

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

◆ GetWeightingFunctionInput() [1/2]

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

◆ GetWeightingFunctionInput() [2/2]

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

◆ GetWeights()

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

◆ GetWeightsInput()

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

◆ New()

template<typename TSample>
static Pointer itk::Statistics::WeightedCovarianceSampleFilter< TSample >::New ( )
static
See also
LightObject::GetNameOfClass()

◆ SetInputnumber()

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

◆ SetWeightingFunction()

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

◆ 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

◆ SetWeights() [2/2]

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

◆ 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: