Base class for model estimation from images used for classification. More...

#include <itkImageModelEstimatorBase.h>

Inheritance diagram for itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >:

Collaboration diagram for itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage::Pointer	InputImagePointer
typedef TInputImage	InputImageType
typedef TMembershipFunction::Pointer	MembershipFunctionPointer
typedef std::vector < MembershipFunctionPointer >	MembershipFunctionPointerVector
typedef SmartPointer< Self >	Pointer
typedef ImageModelEstimatorBase	Self
typedef LightProcessObject	Superclass
Public Member Functions
unsigned int	AddMembershipFunction (MembershipFunctionPointer function)
void	DeleteAllMembershipFunctions ()
virtual InputImageType *	GetInputImage ()
const MembershipFunctionPointerVector	GetMembershipFunctions () const
virtual const char *	GetNameOfClass () const
unsigned int	GetNumberOfMembershipFunctions ()
virtual const unsigned int &	GetNumberOfModels ()
virtual void	SetInputImage (InputImageType *_arg)
void	SetMembershipFunctions (MembershipFunctionPointerVector membershipFunctions)
virtual void	SetNumberOfModels (unsigned int _arg)
void	Update ()
Protected Member Functions
virtual void	GenerateData ()
	ImageModelEstimatorBase ()
void	PrintSelf (std::ostream &os, Indent indent) const
	~ImageModelEstimatorBase ()
Private Member Functions
virtual void	EstimateModels ()=0
	ImageModelEstimatorBase (const Self &)
void	operator= (const Self &)
Private Attributes
InputImagePointer	m_InputImage
MembershipFunctionPointerVector	m_MembershipFunctions
unsigned int	m_NumberOfModels

Detailed Description

template<class TInputImage, class TMembershipFunction>
class itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >

Base class for model estimation from images used for classification.

itkImageModelEstimatorBase is the base class for the ImageModelEstimator objects. It provides the basic function definitions that are inherent to ImageModelEstimator objects.

This is the SuperClass for the ImageModelEstimator framework. This is an abstract class defining an interface for all such objects available through the ImageModelEstimator framework in the ITK toolkit.

The basic functionality of the ImageModelEstimator framework base class is to generate the models used in classification applications. It requires input images and a training image to be provided by the user. This object supports data handling of multiband images. The object accepts the input image in vector format only, where each pixel is a vector and each element of the vector corresponds to an entry from 1 particular band of a multiband dataset. A single band image is treated as a vector image with a single element for every vector. The classified image is treated as a single band scalar image.

EstimateModels() is a pure virtual function making this an abstract class. The template parameter is the type of membership function the ImageModelEstimator populates.

A membership function 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.

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

Definition at line 64 of file itkImageModelEstimatorBase.h.