itk::Statistics::SampleAlgorithmBase< TInputSample > Class Template Reference

calculates sample mean. More...

#include <itkSampleAlgorithmBase.h>

Inheritance diagram for itk::Statistics::SampleAlgorithmBase:

[legend]Collaboration diagram for itk::Statistics::SampleAlgorithmBase< TInputSample >:

[legend]List of all members.

[NOHEADER]
virtual const char *	GetClassName () const
Pointer	New ()
Public Types
typedef SampleAlgorithmBase	Self
typedef Object	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TInputSample	InputSampleType
Public Methods
TInputSample *	GetInputSample ()
void	Update ()
void	SetInputSample (TInputSample *sample)
Protected Methods
	SampleAlgorithmBase ()
virtual	~SampleAlgorithmBase ()
void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	GenerateData ()

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Detailed Description

template<class TInputSample>
class itk::Statistics::SampleAlgorithmBase< TInputSample >

calculates sample mean.

You plug in the target sample data using SetSample method. Then call the GenerateData method to run the alogithm.

The return value that the GetOutput method where is the number of measurement vectors in the target

Definition at line 42 of file itkSampleAlgorithmBase.h.

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Member Typedef Documentation

template<class TInputSample> typedef SmartPointer< const Self > itk::Statistics::SampleAlgorithmBase< TInputSample >::ConstPointer

Reimplemented from itk::Object. Reimplemented in itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >, itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >, itk::Statistics::NeighborhoodSampler< TSample >, itk::Statistics::SampleToHistogramProjectionFilter< TInputSample, THistogramMeasurement >, and itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >. Definition at line 49 of file itkSampleAlgorithmBase.h.

template<class TInputSample> typedef TInputSample itk::Statistics::SampleAlgorithmBase< TInputSample >::InputSampleType

Sample typedefs alias Reimplemented in itk::Statistics::NeighborhoodSampler< TSample >, and itk::Statistics::SampleToHistogramProjectionFilter< TInputSample, THistogramMeasurement >. Definition at line 57 of file itkSampleAlgorithmBase.h.

template<class TInputSample> typedef SmartPointer< Self > itk::Statistics::SampleAlgorithmBase< TInputSample >::Pointer

Reimplemented from itk::Object. Reimplemented in itk::Statistics::CovarianceCalculator< TSample >, itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >, itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >, itk::Statistics::MeanCalculator< TSample >, itk::Statistics::NeighborhoodSampler< TSample >, itk::Statistics::SampleToHistogramProjectionFilter< TInputSample, THistogramMeasurement >, itk::Statistics::WeightedCovarianceCalculator< TSample >, itk::Statistics::WeightedMeanCalculator< TSample >, and itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >. Definition at line 48 of file itkSampleAlgorithmBase.h.

template<class TInputSample> typedef SampleAlgorithmBase itk::Statistics::SampleAlgorithmBase< TInputSample >::Self

Standard class typedefs. Reimplemented from itk::Object. Reimplemented in itk::Statistics::CovarianceCalculator< TSample >, itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >, itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >, itk::Statistics::MeanCalculator< TSample >, itk::Statistics::NeighborhoodSampler< TSample >, itk::Statistics::SampleToHistogramProjectionFilter< TInputSample, THistogramMeasurement >, itk::Statistics::WeightedCovarianceCalculator< TSample >, itk::Statistics::WeightedMeanCalculator< TSample >, and itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >. Definition at line 46 of file itkSampleAlgorithmBase.h.

template<class TInputSample> typedef Object itk::Statistics::SampleAlgorithmBase< TInputSample >::Superclass

Reimplemented from itk::Object. Reimplemented in itk::Statistics::CovarianceCalculator< TSample >, itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >, itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >, itk::Statistics::MeanCalculator< TSample >, itk::Statistics::NeighborhoodSampler< TSample >, itk::Statistics::SampleToHistogramProjectionFilter< TInputSample, THistogramMeasurement >, itk::Statistics::WeightedCovarianceCalculator< TSample >, itk::Statistics::WeightedMeanCalculator< TSample >, and itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >. Definition at line 47 of file itkSampleAlgorithmBase.h.

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Constructor & Destructor Documentation

template<class TInputSample> itk::Statistics::SampleAlgorithmBase< TInputSample >::SampleAlgorithmBase (    )  [protected]

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

Definition at line 81 of file itkSampleAlgorithmBase.h.

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Member Function Documentation

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

Calculates the mean and save it Reimplemented in itk::Statistics::CovarianceCalculator< TSample >, itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >, itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >, itk::Statistics::MeanCalculator< TSample >, itk::Statistics::NeighborhoodSampler< TSample >, itk::Statistics::SampleToHistogramProjectionFilter< TInputSample, THistogramMeasurement >, itk::Statistics::WeightedCovarianceCalculator< TSample >, itk::Statistics::WeightedMeanCalculator< TSample >, and itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >.

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

Standard Macros Reimplemented from itk::Object. Reimplemented in itk::Statistics::CovarianceCalculator< TSample >, itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >, itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >, itk::Statistics::MeanCalculator< TSample >, itk::Statistics::NeighborhoodSampler< TSample >, itk::Statistics::SampleToHistogramProjectionFilter< TInputSample, THistogramMeasurement >, itk::Statistics::WeightedCovarianceCalculator< TSample >, itk::Statistics::WeightedMeanCalculator< TSample >, and itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >.

template<class TInputSample> TInputSample* itk::Statistics::SampleAlgorithmBase< TInputSample >::GetInputSample (    )  [inline]

Definition at line 70 of file itkSampleAlgorithmBase.h.

template<class TInputSample> Pointer itk::Statistics::SampleAlgorithmBase< TInputSample >::New (    )  [static]

Standard Macros Reimplemented from itk::Object. Reimplemented in itk::Statistics::CovarianceCalculator< TSample >, itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >, itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >, itk::Statistics::MeanCalculator< TSample >, itk::Statistics::NeighborhoodSampler< TSample >, itk::Statistics::SampleToHistogramProjectionFilter< TInputSample, THistogramMeasurement >, itk::Statistics::WeightedCovarianceCalculator< TSample >, itk::Statistics::WeightedMeanCalculator< TSample >, and itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >.

template<class TInputSample> void itk::Statistics::SampleAlgorithmBase< TInputSample >::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::Object. Reimplemented in itk::Statistics::CovarianceCalculator< TSample >, itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >, itk::Statistics::MeanCalculator< TSample >, itk::Statistics::NeighborhoodSampler< TSample >, itk::Statistics::SampleToHistogramProjectionFilter< TInputSample, THistogramMeasurement >, itk::Statistics::WeightedCovarianceCalculator< TSample >, itk::Statistics::WeightedMeanCalculator< TSample >, and itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >.

template<class TInputSample> void itk::Statistics::SampleAlgorithmBase< TInputSample >::SetInputSample (  TInputSample *    sample )  [inline]

Stores the sample pointer Definition at line 60 of file itkSampleAlgorithmBase.h.

template<class TInputSample> void itk::Statistics::SampleAlgorithmBase< TInputSample >::Update (  void    )  [inline]

dummy function that calls the GenerateData() function to generate output. It exists for future compatibility with ProcessObject without streaming Definition at line 76 of file itkSampleAlgorithmBase.h.

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

• itkSampleAlgorithmBase.h

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