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

Integration point for MembershipCalculator, DecisionRule, and target sample data with a pre-calculated look up table. More...

#include <itkTableLookupSampleClassifier.h>

Inheritance diagram for itk::Statistics::TableLookupSampleClassifier:

[legend]Collaboration diagram for itk::Statistics::TableLookupSampleClassifier< TSample >:

[legend]List of all members.

[NOHEADER]
virtual const char *	GetClassName () const
Pointer	New ()
Public Types
typedef TableLookupSampleClassifier	Self
typedef SampleClassifier< TSample >	Superclass
typedef SmartPointer< Self >	Pointer
typedef Superclass::OutputType	OutputType
typedef Superclass::MeasurementType	MeasurementType
typedef Superclass::MeasurementVectorType	MeasurementVectorType
typedef Index< itkGetStaticConstMacro(MeasurementVectorSize)	CachedMeasurementVectorType )
typedef Image< MeasurementType, itkGetStaticConstMacro(MeasurementVectorSize)	LookupTableType )
typedef LookupTableType::Pointer	LookupTablePointer
typedef ImageRegionIteratorWithIndex< LookupTableType >	LookupTableIteratorType
typedef LookupTableType::RegionType	RegionType
typedef LookupTableType::SizeType	SizeType
Public Methods
	itkStaticConstMacro (MeasurementVectorSize, unsigned int, Superclass::MeasurementVectorSize)
void	SetLookupTableLowerBound (MeasurementVectorType lower)
void	SetLookupTableUpperBound (MeasurementVectorType upper)
Protected Methods
	TableLookupSampleClassifier ()
virtual	~TableLookupSampleClassifier ()
void	PrintSelf (std::ostream &os, Indent indent) const
void	PrepareLookupTable ()
void	GenerateData ()

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Detailed Description

template<class TSample>
class itk::Statistics::TableLookupSampleClassifier< TSample >

Integration point for MembershipCalculator, DecisionRule, and target sample data with a pre-calculated look up table.

This classifier is identical to the SampleClassifier except that it creates a look-up table which stores a mapping between a measurement vector and its corresponding class labels. After this step, classification of target data becomes a look up operation in this table.

For creation of the look-up table, users should provdes the lower-bound upper-bound of the measurement vectors using SetLookupTableLowerBound and SetLookupTableUpperBound methods.

This classifier is meant to be used with measurement-vectors with low dimensionality (maybe 1 or 2). If users have good knowledge of the possible range of measurement-vectors, by setting the bound fit the range, they might enhance its performenace further.

The first template argument is the type of the target sample data that this classifier will assign a class label for each measurement vector. The second one is the type of a membership value calculator for each. A membership calculator represents a specific knowledge about a class. In other words, it should tell us how "likely" is that a measurement vector (pattern) belong to the class. The third argument is the type of decision rule. The main role of a decision rule is comparing the return values of the membership calculators. However, decision rule can include some prior knowledge that can improve the result.

Before you call the GenerateData method to start the classification process, you should plug in all necessary parts ( one or more membership calculators, a decision rule, and a target sample data). To plug in the decision rule, you use SetDecisionRule method, for the target sample data, SetSample method, and for the membership calculators, use AddMembershipCalculator method.

As the method name indicates, you can have more than one membership calculator. One for each classes. The order you put the membership calculator becomes the class label for the class that is represented by the membership calculator.

The classification result is a MembershipSample.

Definition at line 74 of file itkTableLookupSampleClassifier.h.

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Member Typedef Documentation

template<class TSample> typedef Index< itkGetStaticConstMacro(MeasurementVectorSize) itk::Statistics::TableLookupSampleClassifier< TSample >::CachedMeasurementVectorType)

Lookup table related typedefs Definition at line 97 of file itkTableLookupSampleClassifier.h.

template<class TSample> typedef ImageRegionIteratorWithIndex< LookupTableType > itk::Statistics::TableLookupSampleClassifier< TSample >::LookupTableIteratorType

Lookup table related typedefs Definition at line 100 of file itkTableLookupSampleClassifier.h.

template<class TSample> typedef LookupTableType::Pointer itk::Statistics::TableLookupSampleClassifier< TSample >::LookupTablePointer

Lookup table related typedefs Definition at line 99 of file itkTableLookupSampleClassifier.h.

template<class TSample> typedef Image< MeasurementType, itkGetStaticConstMacro(MeasurementVectorSize) itk::Statistics::TableLookupSampleClassifier< TSample >::LookupTableType)

Lookup table related typedefs Definition at line 98 of file itkTableLookupSampleClassifier.h.

template<class TSample> typedef Superclass::MeasurementType itk::Statistics::TableLookupSampleClassifier< TSample >::MeasurementType

typedefs from TSample object Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 90 of file itkTableLookupSampleClassifier.h.

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

Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 91 of file itkTableLookupSampleClassifier.h.

template<class TSample> typedef Superclass::OutputType itk::Statistics::TableLookupSampleClassifier< TSample >::OutputType

Common typedefs for classifiers which are Inherited from SampleClassifier class Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 89 of file itkTableLookupSampleClassifier.h.

template<class TSample> typedef SmartPointer<Self> itk::Statistics::TableLookupSampleClassifier< TSample >::Pointer

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

template<class TSample> typedef LookupTableType::RegionType itk::Statistics::TableLookupSampleClassifier< TSample >::RegionType

Lookup table related typedefs Definition at line 101 of file itkTableLookupSampleClassifier.h.

template<class TSample> typedef TableLookupSampleClassifier itk::Statistics::TableLookupSampleClassifier< TSample >::Self

Standard class typedef Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 79 of file itkTableLookupSampleClassifier.h.

template<class TSample> typedef LookupTableType::SizeType itk::Statistics::TableLookupSampleClassifier< TSample >::SizeType

Lookup table related typedefs Definition at line 102 of file itkTableLookupSampleClassifier.h.

template<class TSample> typedef SampleClassifier< TSample > itk::Statistics::TableLookupSampleClassifier< TSample >::Superclass

Reimplemented from itk::Statistics::SampleClassifier< TSample >. Definition at line 80 of file itkTableLookupSampleClassifier.h.

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Constructor & Destructor Documentation

template<class TSample> itk::Statistics::TableLookupSampleClassifier< TSample >::TableLookupSampleClassifier (    )  [protected]

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

Definition at line 113 of file itkTableLookupSampleClassifier.h. References HardConnectedComponentImageFilter::GenerateData().

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Member Function Documentation

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

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

template<class TSample> virtual const char* itk::Statistics::TableLookupSampleClassifier< TSample >::GetClassName (    )  const [virtual]

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

template<class TSample> itk::Statistics::TableLookupSampleClassifier< TSample >::itkStaticConstMacro (  MeasurementVectorSize   , unsigned    int, Superclass::MeasurementVectorSize    )

template<class TSample> Pointer itk::Statistics::TableLookupSampleClassifier< TSample >::New (    )  [static]

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

template<class TSample> void itk::Statistics::TableLookupSampleClassifier< TSample >::PrepareLookupTable (    )  [protected]

template<class TSample> void itk::Statistics::TableLookupSampleClassifier< TSample >::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> void itk::Statistics::TableLookupSampleClassifier< TSample >::SetLookupTableLowerBound (  MeasurementVectorType    lower )

sets the upper boundary for the lookup table construction

template<class TSample> void itk::Statistics::TableLookupSampleClassifier< TSample >::SetLookupTableUpperBound (  MeasurementVectorType    upper )

sets the upper boundary for the lookup table construction

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

• itkTableLookupSampleClassifier.h

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