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

This filter create a cluster map from an input sample. More...

#include <itkSampleMeanShiftClusteringFilter.h>

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

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

[legend]List of all members.

[NOHEADER]
virtual const char *	GetNameOfClass () const
Pointer	New ()
Public Types
typedef SampleMeanShiftClusteringFilter	Self
typedef SampleAlgorithmBase< TSample >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TSample::MeasurementVectorType	MeasurementVectorType
typedef TSample::MeasurementType	MeasurementType
typedef TSample::InstanceIdentifier	InstanceIdentifier
typedef std::vector< InstanceIdentifier >	SearchResultVectorType
typedef std::vector< int >	ClusterLabelsType
Public Member Functions
virtual void	SetThreshold (double _arg)
virtual double	GetThreshold ()
virtual void	SetMinimumClusterSize (unsigned long _arg)
virtual unsigned long	GetMinimumClusterSize ()
ClusterLabelsType &	GetOutput ()
Protected Member Functions
	SampleMeanShiftClusteringFilter ()
virtual	~SampleMeanShiftClusteringFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
void	GenerateData ()

---

Detailed Description

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

This filter create a cluster map from an input sample.

The clustering process is done by linking measurement vectors whose distance is below the threshold value set by the SetThreshold method. However, if the resulting cluster size is below the minimum number of measurement vectors set by the MinimumClusterSize method. Such measurement vectors are clustered together and labelled zero.

See also:

SampleMeanShiftBlurringFilter, SampleSelectiveMeanShiftBlurringFilter

Definition at line 41 of file itkSampleMeanShiftClusteringFilter.h.

---

Member Typedef Documentation

template<class TSample> typedef std::vector< int > itk::Statistics::SampleMeanShiftClusteringFilter< TSample >::ClusterLabelsType

Definition at line 62 of file itkSampleMeanShiftClusteringFilter.h.

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

Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Definition at line 49 of file itkSampleMeanShiftClusteringFilter.h.

template<class TSample> typedef TSample::InstanceIdentifier itk::Statistics::SampleMeanShiftClusteringFilter< TSample >::InstanceIdentifier

Definition at line 59 of file itkSampleMeanShiftClusteringFilter.h.

template<class TSample> typedef TSample::MeasurementType itk::Statistics::SampleMeanShiftClusteringFilter< TSample >::MeasurementType

Definition at line 58 of file itkSampleMeanShiftClusteringFilter.h.

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

Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Definition at line 57 of file itkSampleMeanShiftClusteringFilter.h.

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

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

template<class TSample> typedef std::vector< InstanceIdentifier > itk::Statistics::SampleMeanShiftClusteringFilter< TSample >::SearchResultVectorType

Definition at line 61 of file itkSampleMeanShiftClusteringFilter.h.

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

Standard class typedefs. Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >. Definition at line 46 of file itkSampleMeanShiftClusteringFilter.h.

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

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

---

Constructor & Destructor Documentation

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

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

---

Member Function Documentation

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

Calculates the mean and save it Reimplemented from itk::Statistics::SampleAlgorithmBase< TSample >.

template<class TSample> virtual unsigned long itk::Statistics::SampleMeanShiftClusteringFilter< TSample >::GetMinimumClusterSize (   )  [virtual]

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

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

template<class TSample> ClusterLabelsType& itk::Statistics::SampleMeanShiftClusteringFilter< TSample >::GetOutput (  void   )  [inline]

Definition at line 69 of file itkSampleMeanShiftClusteringFilter.h.

template<class TSample> virtual double itk::Statistics::SampleMeanShiftClusteringFilter< TSample >::GetThreshold (   )  [virtual]

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

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

template<class TSample> void itk::Statistics::SampleMeanShiftClusteringFilter< 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 >.

template<class TSample> virtual void itk::Statistics::SampleMeanShiftClusteringFilter< TSample >::SetMinimumClusterSize (  unsigned long  _arg  )  [virtual]

template<class TSample> virtual void itk::Statistics::SampleMeanShiftClusteringFilter< TSample >::SetThreshold (  double  _arg  )  [virtual]

---

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

• itkSampleMeanShiftClusteringFilter.h

---