ITK  4.2.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Protected Member Functions | Private Member Functions
itk::Statistics::WeightedCovarianceSampleFilter< TSample > Class Template Reference

#include <itkWeightedCovarianceSampleFilter.h>

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

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef
SimpleDataObjectDecorator
< WeightArrayType
InputWeightArrayObjectType
typedef DataObjectDecorator
< WeightingFunctionType
InputWeightingFunctionObjectType
typedef
SimpleDataObjectDecorator
< MatrixType
MatrixDecoratedType
typedef VariableSizeMatrix
< double > 
MatrixType
typedef
Superclass::MeasurementRealType 
MeasurementRealType
typedef
Superclass::MeasurementVectorDecoratedType 
MeasurementVectorDecoratedType
typedef
Superclass::MeasurementVectorRealType 
MeasurementVectorRealType
typedef
Superclass::MeasurementVectorSizeType 
MeasurementVectorSizeType
typedef
Superclass::MeasurementVectorType 
MeasurementVectorType
typedef Superclass::OutputType OutputType
typedef SmartPointer< SelfPointer
typedef Superclass::SampleType SampleType
typedef
WeightedCovarianceSampleFilter 
Self
typedef CovarianceSampleFilter
< TSample > 
Superclass
typedef Array< double > WeightArrayType
typedef FunctionBase
< MeasurementVectorType,
double > 
WeightingFunctionType
- Public Types inherited from itk::Statistics::CovarianceSampleFilter< TSample >
typedef TSample::MeasurementType MeasurementType
- Public Types inherited from itk::ProcessObject
typedef
DataObject::DataObjectIdentifierType 
DataObjectIdentifierType
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
typedef std::vector
< DataObjectIdentifierType
NameArray
- Public Types inherited from itk::Object
- Public Types inherited from itk::LightObject

Public Member Functions

 itkSetGetDecoratedInputMacro (Weights, WeightArrayType)
 itkSetGetDecoratedObjectInputMacro (WeightingFunction, WeightingFunctionType)
- Public Member Functions inherited from itk::Statistics::CovarianceSampleFilter< TSample >
const MatrixType GetCovarianceMatrix () const
const MatrixDecoratedTypeGetCovarianceMatrixOutput () const
const SampleTypeGetInput () 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 ()
NameArray GetInputNames () const
MultiThreader * GetMultiThreader () const
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
DataObjectPointerArraySizeType GetNumberOfInputs () const
DataObjectPointerArraySizeType GetNumberOfOutputs () const
virtual
DataObjectPointerArraySizeType 
GetNumberOfValidRequiredInputs () const
NameArray GetOutputNames () const
virtual const float & GetProgress ()
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 SetProgress (float _arg)
virtual void Update ()
virtual void UpdateLargestPossibleRegion ()
virtual void UpdateOutputData (DataObject *output)
virtual void UpdateOutputInformation ()
void UpdateProgress (float amount)
DataObjectPointerArray GetInputs ()
DataObjectPointerArray GetOutputs ()
DataObjectPointerArray GetIndexedInputs ()
DataObjectPointerArray GetIndexedOutputs ()
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
virtual void SetReleaseDataFlag (bool flag)
virtual bool GetReleaseDataFlag () const
void ReleaseDataFlagOn ()
void ReleaseDataFlagOff ()
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool & GetReleaseDataBeforeUpdateFlag ()
virtual void ReleaseDataBeforeUpdateFlagOn ()
virtual void ReleaseDataBeforeUpdateFlagOff ()
virtual void SetNumberOfThreads (ThreadIdType _arg)
virtual const ThreadIdTypeGetNumberOfThreads ()
- 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
CommandGetCommand (unsigned long tag)
bool GetDebug () const
MetaDataDictionaryGetMetaDataDictionary (void)
const MetaDataDictionaryGetMetaDataDictionary (void) const
virtual unsigned long GetMTime () const
virtual const TimeStampGetTimeStamp () const
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
virtual void Modified () const
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
void SetDebug (bool debugFlag) const
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetReferenceCount (int)
virtual void UnRegister () 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 ()
void PrintSelf (std::ostream &os, Indent indent) const
 WeightedCovarianceSampleFilter ()
virtual ~WeightedCovarianceSampleFilter ()
- Protected Member Functions inherited from itk::Statistics::CovarianceSampleFilter< TSample >
 CovarianceSampleFilter ()
virtual DataObjectPointer MakeOutput (DataObjectPointerArraySizeType idx)
virtual ~CovarianceSampleFilter ()
- Protected Member Functions inherited from itk::ProcessObject
virtual void AddInput (DataObject *input)
virtual void AddOutput (DataObject *output)
bool AddRequiredInputName (const DataObjectIdentifierType &)
virtual void CacheInputReleaseDataFlags ()
virtual void GenerateInputRequestedRegion ()
virtual void GenerateOutputInformation ()
virtual void GenerateOutputRequestedRegion (DataObject *output)
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredInputs ()
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredOutputs ()
bool IsIndexedName (const DataObjectIdentifierType &) const
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 itkLegacyMacro (virtual void RemoveInput(DataObject *input))
 itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
 itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
 itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
DataObjectPointerArraySizeType MakeIndexFromName (const DataObjectIdentifierType &) const
DataObjectIdentifierType MakeNameFromIndex (DataObjectPointerArraySizeType) const
 ProcessObject ()
virtual void PropagateResetPipeline ()
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 ()
DataObjectGetInput (const DataObjectIdentifierType &key)
const DataObjectGetInput (const DataObjectIdentifierType &key) const
DataObjectGetInput (DataObjectPointerArraySizeType)
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
DataObjectGetPrimaryInput ()
const DataObjectGetPrimaryInput () const
DataObjectGetOutput (const DataObjectIdentifierType &key)
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
DataObjectGetOutput (DataObjectPointerArraySizeType idx)
const DataObjectGetOutput (DataObjectPointerArraySizeType idx) const
DataObjectGetPrimaryOutput ()
const DataObjectGetPrimaryOutput () const
virtual void PushBackInput (const DataObject *input)
virtual void PopBackInput ()
virtual void PushFrontInput (const DataObject *input)
virtual void PopFrontInput ()
- 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 &)
 WeightedCovarianceSampleFilter (const Self &)
virtual const char * GetNameOfClass () const
virtual ::itk::LightObject::Pointer CreateAnother (void) const
static Pointer New ()

Additional Inherited Members

- Protected Types inherited from itk::Statistics::CovarianceSampleFilter< TSample >
typedef DataObject::Pointer DataObjectPointer
typedef
ProcessObject::DataObjectPointerArraySizeType 
DataObjectPointerArraySizeType

Detailed Description

template<class 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

Definition at line 43 of file itkWeightedCovarianceSampleFilter.h.


Member Typedef Documentation

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

Type of DataObjects to use for the weight array type

Definition at line 81 of file itkWeightedCovarianceSampleFilter.h.

Type of DataObjects to use for Weight function

Definition at line 87 of file itkWeightedCovarianceSampleFilter.h.

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

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

Definition at line 75 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >
typedef VariableSizeMatrix< double > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MatrixType

Typedef for WeightedCovariance output

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

Definition at line 68 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >
typedef Superclass::MeasurementRealType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementRealType
template<class TSample >
typedef Superclass::MeasurementVectorDecoratedType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::MeasurementVectorDecoratedType

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

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

Definition at line 62 of file itkWeightedCovarianceSampleFilter.h.

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

Type of the measurement vector type

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

Definition at line 65 of file itkWeightedCovarianceSampleFilter.h.

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

Length of a measurement vector

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

Definition at line 61 of file itkWeightedCovarianceSampleFilter.h.

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

Measurement vector type

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

Definition at line 60 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >
typedef Superclass::OutputType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::OutputType
template<class TSample >
typedef SmartPointer< Self > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::Pointer
template<class TSample >
typedef Superclass::SampleType itk::Statistics::WeightedCovarianceSampleFilter< TSample >::SampleType

Traits derived from the base class

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

Definition at line 55 of file itkWeightedCovarianceSampleFilter.h.

Standard class typedefs.

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

Definition at line 48 of file itkWeightedCovarianceSampleFilter.h.

template<class TSample >
typedef CovarianceSampleFilter< TSample > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::Superclass
template<class TSample >
typedef Array< double > itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightArrayType

Array typedef for weights

Definition at line 78 of file itkWeightedCovarianceSampleFilter.h.

Weight calculation function typedef

Definition at line 71 of file itkWeightedCovarianceSampleFilter.h.


Constructor & Destructor Documentation

template<class TSample >
itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightedCovarianceSampleFilter ( )
protected
template<class TSample >
virtual itk::Statistics::WeightedCovarianceSampleFilter< TSample >::~WeightedCovarianceSampleFilter ( )
protectedvirtual
template<class TSample >
itk::Statistics::WeightedCovarianceSampleFilter< TSample >::WeightedCovarianceSampleFilter ( const Self )
private

Member Function Documentation

template<class TSample >
void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::ComputeCovarianceMatrixWithWeightingFunction ( )
protected

Compute covariance matrix with weights computed from a function

template<class TSample >
void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::ComputeCovarianceMatrixWithWeights ( )
protected

Compute covariance matrix with weights specified in an array

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

Standard Macros

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

template<class TSample >
void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::GenerateData ( void  )
protectedvirtual

This method causes the filter to generate its output.

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

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

Standard Macros

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

template<class TSample >
itk::Statistics::WeightedCovarianceSampleFilter< TSample >::itkSetGetDecoratedInputMacro ( Weights  ,
WeightArrayType   
)

Method to set the input value of the weight array

template<class TSample >
itk::Statistics::WeightedCovarianceSampleFilter< TSample >::itkSetGetDecoratedObjectInputMacro ( WeightingFunction  ,
WeightingFunctionType   
)

Method to set the weighting function

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

Standard Macros

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

template<class TSample >
void itk::Statistics::WeightedCovarianceSampleFilter< TSample >::operator= ( const Self )
private

Time when GenerateOutputInformation was last called.

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

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

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 >.


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