itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample > Class Template Reference

Integration point for MembershipCalculator, DecisionRule, and target sample data. This class is functionally identical to the SampleClassifier, except that users can perform only part of the input sample that belongs to the subset of classes. More...

#include <itkSampleClassifierWithMask.h>

Inheritance diagram for itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >:

[legend]Collaboration diagram for itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >:

[legend]List of all members.

[NOHEADER]
virtual const char *	GetNameOfClass () const
Pointer	New ()
Public Types
typedef SampleClassifierWithMask	Self
typedef SampleClassifier< TSample >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::OutputType	OutputType
typedef Superclass::ClassLabelType	ClassLabelType
typedef Superclass::ClassLabelVectorType	ClassLabelVectorType
typedef TSample::MeasurementType	MeasurementType
typedef TSample::MeasurementVectorType	MeasurementVectorType
typedef Superclass::MembershipFunctionPointerVector	MembershipFunctionPointerVector
Public Member Functions
void	SetMask (TMaskSample *mask)
TMaskSample *	GetMask ()
void	SetSelectedClassLabels (ClassLabelVectorType &labels)
void	SetOtherClassLabel (ClassLabelType label)
Protected Member Functions
	SampleClassifierWithMask ()
virtual	~SampleClassifierWithMask ()
void	PrintSelf (std::ostream &os, Indent indent) const
void	GenerateData ()

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Detailed Description

template<class TSample, class TMaskSample>
class itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >

Integration point for MembershipCalculator, DecisionRule, and target sample data. This class is functionally identical to the SampleClassifier, except that users can perform only part of the input sample that belongs to the subset of classes.

To this purpose, this class needs a class mask sample that has class labels as measurement vectors. Using SetMask method, users can provide the class mask sample.

To specify which classes should be included for classification, users must call SetSelectedClassLabels method with class labels that will be included. All measurement vectors that belong to the non-selected classes will be classified to the class label that has been given by the SetOtherClassLabel method.

Except for the modifications mentioned above, the basic behavior and methods are identical to those of SampleClassifier.

Recent API changes: The static const macro to get the length of a measurement vector, MeasurementVectorSize has been removed to allow the length of a measurement vector to be specified at run time. Please use the function GetMeasurementVectorSize() instead.

See also:

SampleClassifier

Definition at line 60 of file itkSampleClassifierWithMask.h.

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Member Typedef Documentation

template<class TSample, class TMaskSample> typedef Superclass::ClassLabelType itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::ClassLabelType

Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 77 of file itkSampleClassifierWithMask.h. Referenced by itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::~SampleClassifierWithMask().

template<class TSample, class TMaskSample> typedef Superclass::ClassLabelVectorType itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::ClassLabelVectorType

Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 78 of file itkSampleClassifierWithMask.h. Referenced by itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::~SampleClassifierWithMask().

template<class TSample, class TMaskSample> typedef SmartPointer<const Self> itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::ConstPointer

Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 68 of file itkSampleClassifierWithMask.h.

template<class TSample, class TMaskSample> typedef TSample::MeasurementType itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::MeasurementType

typedefs from TSample object Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 81 of file itkSampleClassifierWithMask.h.

template<class TSample, class TMaskSample> typedef TSample::MeasurementVectorType itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::MeasurementVectorType

Sets the decision rule Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 82 of file itkSampleClassifierWithMask.h.

template<class TSample, class TMaskSample> typedef Superclass::MembershipFunctionPointerVector itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::MembershipFunctionPointerVector

typedefs from Superclass Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 87 of file itkSampleClassifierWithMask.h.

template<class TSample, class TMaskSample> typedef Superclass::OutputType itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::OutputType

Superclass typedefs Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 76 of file itkSampleClassifierWithMask.h.

template<class TSample, class TMaskSample> typedef SmartPointer< Self > itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::Pointer

Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 67 of file itkSampleClassifierWithMask.h.

template<class TSample, class TMaskSample> typedef SampleClassifierWithMask itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::Self

Standard class typedef Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 65 of file itkSampleClassifierWithMask.h.

template<class TSample, class TMaskSample> typedef SampleClassifier< TSample > itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::Superclass

Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 66 of file itkSampleClassifierWithMask.h.

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Constructor & Destructor Documentation

template<class TSample, class TMaskSample> itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::SampleClassifierWithMask (   )  [protected]

template<class TSample, class TMaskSample> virtual itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::~SampleClassifierWithMask (   )  [inline, protected, virtual]

Definition at line 102 of file itkSampleClassifierWithMask.h. References itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::ClassLabelType, and itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::ClassLabelVectorType.

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Member Function Documentation

template<class TSample, class TMaskSample> void itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::GenerateData (   )  [protected, virtual]

Starts the classification process Reimplemented from itk::Statistics::SampleClassifier< TSample >.

template<class TSample, class TMaskSample> TMaskSample* itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::GetMask (   )  [inline]

Definition at line 91 of file itkSampleClassifierWithMask.h.

template<class TSample, class TMaskSample> virtual const char* itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::GetNameOfClass (   )  const [virtual]

Standard macros Reimplemented from itk::Statistics::SampleClassifier< TSample >.

template<class TSample, class TMaskSample> Pointer itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::New (   )  [static]

Standard macros Reimplemented from itk::Statistics::SampleClassifier< TSample >.

template<class TSample, class TMaskSample> void itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::PrintSelf (  std::ostream &  os, Indent  indent )  const [protected, virtual]

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::SampleClassifier< TSample >.

template<class TSample, class TMaskSample> void itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::SetMask (  TMaskSample *  mask  )

template<class TSample, class TMaskSample> void itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::SetOtherClassLabel (  ClassLabelType  label  )  [inline]

Definition at line 97 of file itkSampleClassifierWithMask.h.

template<class TSample, class TMaskSample> void itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::SetSelectedClassLabels (  ClassLabelVectorType &  labels  )  [inline]

Definition at line 94 of file itkSampleClassifierWithMask.h.

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

• itkSampleClassifierWithMask.h

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