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

This filter blurs the input sample data using mean shift algorithm. More...

#include <itkSampleMeanShiftBlurringFilter.h>

Inheritance diagram for itk::Statistics::SampleMeanShiftBlurringFilter< TSample >:

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

[legend]List of all members.

[NOHEADER]
virtual const char *	GetClassName () const
Pointer	New ()
Public Types
typedef SampleMeanShiftBlurringFilter	Self
typedef SampleAlgorithmBase< TSample >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TSample::MeasurementVectorType	MeasurementVectorType
typedef Superclass::InputSampleType	InputSampleType
typedef ListSample< MeasurementVectorType >	OutputType
typedef MeanShiftModeSeekerBase< TSample >	MeanShiftModeSeekerType
Public Member Functions
	itkStaticConstMacro (MeasurementVectorSize, unsigned int, TSample::MeasurementVectorSize)
OutputType *	GetOutput ()
void	SetMeanShiftModeSeeker (MeanShiftModeSeekerType *function)
MeanShiftModeSeekerType *	GetMeanShiftModeSeeker ()
Protected Member Functions
	SampleMeanShiftBlurringFilter ()
virtual	~SampleMeanShiftBlurringFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
void	GenerateData ()

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Detailed Description

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

This filter blurs the input sample data using mean shift algorithm.

The mode seeking part is done by any class derived from the MeanShiftModeSeekerBase. Users should set the input sample using the SetInputSample method of the superclass and set the mean shift mode seeker using the SetMeanShiftModeSeeker method.

See also:

SampleMeanShiftClusteringFilter, MeanShiftModeSeekerBase

Definition at line 40 of file itkSampleMeanShiftBlurringFilter.h.

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Member Typedef Documentation

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

Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Reimplemented in itk::Statistics::SampleSelectiveMeanShiftBlurringFilter< TSample >. Definition at line 48 of file itkSampleMeanShiftBlurringFilter.h.

template<class TSample> typedef Superclass::InputSampleType itk::Statistics::SampleMeanShiftBlurringFilter< TSample >::InputSampleType

Sample typedefs alias Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Definition at line 59 of file itkSampleMeanShiftBlurringFilter.h.

template<class TSample> typedef MeanShiftModeSeekerBase< TSample > itk::Statistics::SampleMeanShiftBlurringFilter< TSample >::MeanShiftModeSeekerType

Reimplemented in itk::Statistics::SampleSelectiveMeanShiftBlurringFilter< TSample >. Definition at line 61 of file itkSampleMeanShiftBlurringFilter.h.

template<class TSample> typedef TSample::MeasurementVectorType itk::Statistics::SampleMeanShiftBlurringFilter< TSample >::MeasurementVectorType

Reimplemented in itk::Statistics::SampleSelectiveMeanShiftBlurringFilter< TSample >. Definition at line 58 of file itkSampleMeanShiftBlurringFilter.h.

template<class TSample> typedef ListSample< MeasurementVectorType > itk::Statistics::SampleMeanShiftBlurringFilter< TSample >::OutputType

Reimplemented in itk::Statistics::SampleSelectiveMeanShiftBlurringFilter< TSample >. Definition at line 60 of file itkSampleMeanShiftBlurringFilter.h.

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

Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Reimplemented in itk::Statistics::SampleSelectiveMeanShiftBlurringFilter< TSample >. Definition at line 47 of file itkSampleMeanShiftBlurringFilter.h.

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

Standard class typedefs. Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Reimplemented in itk::Statistics::SampleSelectiveMeanShiftBlurringFilter< TSample >. Definition at line 45 of file itkSampleMeanShiftBlurringFilter.h.

template<class TSample> typedef SampleAlgorithmBase< TSample > itk::Statistics::SampleMeanShiftBlurringFilter< TSample >::Superclass

Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Reimplemented in itk::Statistics::SampleSelectiveMeanShiftBlurringFilter< TSample >. Definition at line 46 of file itkSampleMeanShiftBlurringFilter.h.

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Constructor & Destructor Documentation

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

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

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Member Function Documentation

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

Blurring the input sample and creates a ListSample with blurred data Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Reimplemented in itk::Statistics::SampleSelectiveMeanShiftBlurringFilter< TSample >.

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

Standard Macros Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Reimplemented in itk::Statistics::SampleSelectiveMeanShiftBlurringFilter< TSample >.

template<class TSample> MeanShiftModeSeekerType* itk::Statistics::SampleMeanShiftBlurringFilter< TSample >::GetMeanShiftModeSeeker (   )  [inline]

Set/Gets the mean shift evolving function Definition at line 65 of file itkSampleMeanShiftBlurringFilter.h.

template<class TSample> OutputType* itk::Statistics::SampleMeanShiftBlurringFilter< TSample >::GetOutput (   )

Returns the blurred sample data in a ListSample object

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

Reimplemented in itk::Statistics::SampleSelectiveMeanShiftBlurringFilter< TSample >.

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

Standard Macros Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Reimplemented in itk::Statistics::SampleSelectiveMeanShiftBlurringFilter< TSample >.

template<class TSample> void itk::Statistics::SampleMeanShiftBlurringFilter< 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::SampleAlgorithmBase< TSample >. Reimplemented in itk::Statistics::SampleSelectiveMeanShiftBlurringFilter< TSample >.

template<class TSample> void itk::Statistics::SampleMeanShiftBlurringFilter< TSample >::SetMeanShiftModeSeeker (  MeanShiftModeSeekerType *  function  )

Set/Gets the mean shift evolving function

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

• itkSampleMeanShiftBlurringFilter.h

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