itk::BayesianClassifierImageFilter< TInputImage, TOutputImage > Class Template Reference
[Intensity Image Filters, Multithreaded Filters]

This filter will perform Bayesian Classification on an image. More...

#include <itkBayesianClassifierImageFilter.h>

Inheritance diagram for itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >:

[legend]Collaboration diagram for itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >:

[legend]List of all members.

Public Types
typedef BayesianClassifierImageFilter	Self
typedef ImageToImageFilter< TInputImage, TOutputImage >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage::PixelType	InputPixelType
typedef TOutputImage::PixelType	OutputPixelType
typedef Superclass::InputImageType	InputImageType
typedef Superclass::OutputImageType	OutputImageType
typedef InputPixelType	MeasurementVectorType
typedef Statistics::GaussianDensityFunction< MeasurementVectorType >	MembershipFunctionType
typedef MembershipFunctionType::ConstPointer	MembershipFunctionConstPointer
typedef std::vector< MembershipFunctionConstPointer >	MembershipFunctionContainer
typedef MaximumRatioDecisionRule	DecisionRuleType
Public Member Functions
virtual const char *	GetNameOfClass () const
void	AddMembershipFunction (const MembershipFunctionType *newFunction)
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	BayesianClassifierImageFilter ()
virtual	~BayesianClassifierImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	GenerateData ()

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Detailed Description

template<class TInputImage, class TOutputImage>
class itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >

This filter will perform Bayesian Classification on an image.

[add detailed documentation]

This filter is templated over the input image type and the output image type.

The filter expect both images to have the same number of dimensions.

Author:

John Melonakos, Georgia Tech

Definition at line 45 of file itkBayesianClassifierImageFilter.h.

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Member Typedef Documentation

template<class TInputImage, class TOutputImage> typedef SmartPointer<const Self> itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::ConstPointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 55 of file itkBayesianClassifierImageFilter.h.

template<class TInputImage, class TOutputImage> typedef MaximumRatioDecisionRule itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::DecisionRuleType

Decision rule to use for defining the label Definition at line 83 of file itkBayesianClassifierImageFilter.h.

template<class TInputImage, class TOutputImage> typedef Superclass::InputImageType itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::InputImageType

Input and Output image types Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 68 of file itkBayesianClassifierImageFilter.h.

template<class TInputImage, class TOutputImage> typedef TInputImage::PixelType itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::InputPixelType

Pixel types. Definition at line 64 of file itkBayesianClassifierImageFilter.h.

template<class TInputImage, class TOutputImage> typedef InputPixelType itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::MeasurementVectorType

Type of the Measurement Definition at line 72 of file itkBayesianClassifierImageFilter.h.

template<class TInputImage, class TOutputImage> typedef MembershipFunctionType::ConstPointer itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::MembershipFunctionConstPointer

Definition at line 77 of file itkBayesianClassifierImageFilter.h.

template<class TInputImage, class TOutputImage> typedef std::vector< MembershipFunctionConstPointer > itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::MembershipFunctionContainer

Membership function container Definition at line 80 of file itkBayesianClassifierImageFilter.h.

template<class TInputImage, class TOutputImage> typedef Statistics::GaussianDensityFunction< MeasurementVectorType > itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::MembershipFunctionType

Type of the Gaussian density functions Definition at line 76 of file itkBayesianClassifierImageFilter.h.

template<class TInputImage, class TOutputImage> typedef Superclass::OutputImageType itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::OutputImageType

Some convenient typedefs. Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 69 of file itkBayesianClassifierImageFilter.h.

template<class TInputImage, class TOutputImage> typedef TOutputImage::PixelType itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::OutputPixelType

Definition at line 65 of file itkBayesianClassifierImageFilter.h.

template<class TInputImage, class TOutputImage> typedef SmartPointer<Self> itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::Pointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 54 of file itkBayesianClassifierImageFilter.h.

template<class TInputImage, class TOutputImage> typedef BayesianClassifierImageFilter itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs. Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 51 of file itkBayesianClassifierImageFilter.h.

template<class TInputImage, class TOutputImage> typedef ImageToImageFilter<TInputImage,TOutputImage > itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::Superclass

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 53 of file itkBayesianClassifierImageFilter.h.

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Constructor & Destructor Documentation

template<class TInputImage, class TOutputImage> itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::BayesianClassifierImageFilter (   )  [protected]

template<class TInputImage, class TOutputImage> virtual itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::~BayesianClassifierImageFilter (   )  [inline, protected, virtual]

Definition at line 92 of file itkBayesianClassifierImageFilter.h.

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Member Function Documentation

template<class TInputImage, class TOutputImage> void itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::AddMembershipFunction (  const MembershipFunctionType *  newFunction  )

Add a membership function to the filter. This is expected to be a Gaussian

template<class TInputImage, class TOutputImage> virtual void itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::GenerateData (   )  [protected, virtual]

Here is where the classification is computed. Reimplemented from itk::ImageSource< TOutputImage >.

template<class TInputImage, class TOutputImage> virtual const char* itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::GetNameOfClass (   )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage> Pointer itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::New (   )  [static]

Method for creation through the object factory. Reimplemented from itk::Object.

template<class TInputImage, class TOutputImage> void itk::BayesianClassifierImageFilter< TInputImage, TOutputImage >::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::ImageToImageFilter< TInputImage, TOutputImage >.

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

• itkBayesianClassifierImageFilter.h

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