ITK
4.1.0
Insight Segmentation and Registration Toolkit
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#include <itkImageModelEstimatorBase.h>
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.
typedef SmartPointer< const Self > itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::ConstPointer |
Reimplemented from itk::LightProcessObject.
Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, and itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >.
Definition at line 71 of file itkImageModelEstimatorBase.h.
typedef TInputImage::Pointer itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::InputImagePointer |
Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, and itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >.
Definition at line 90 of file itkImageModelEstimatorBase.h.
typedef TInputImage itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::InputImageType |
Type definitions for the training image.
Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >.
Definition at line 89 of file itkImageModelEstimatorBase.h.
typedef TMembershipFunction::Pointer itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::MembershipFunctionPointer |
Type definitions for the membership function .
Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, and itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >.
Definition at line 80 of file itkImageModelEstimatorBase.h.
typedef std::vector< MembershipFunctionPointer > itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::MembershipFunctionPointerVector |
Definition at line 86 of file itkImageModelEstimatorBase.h.
typedef SmartPointer< Self > itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Pointer |
Reimplemented from itk::LightProcessObject.
Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, and itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >.
Definition at line 70 of file itkImageModelEstimatorBase.h.
typedef ImageModelEstimatorBase itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Self |
Standard class typedefs.
Reimplemented from itk::LightProcessObject.
Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, and itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >.
Definition at line 68 of file itkImageModelEstimatorBase.h.
typedef LightProcessObject itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Superclass |
Reimplemented from itk::LightProcessObject.
Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, and itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >.
Definition at line 69 of file itkImageModelEstimatorBase.h.
itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::ImageModelEstimatorBase | ( | ) | [protected] |
itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::~ImageModelEstimatorBase | ( | ) | [protected] |
itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::ImageModelEstimatorBase | ( | const Self & | ) | [private] |
unsigned int itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::AddMembershipFunction | ( | MembershipFunctionPointer | function | ) |
Stores a MembershipCalculator of a class in its internal vector
void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::DeleteAllMembershipFunctions | ( | ) | [inline] |
Method to reset the membership fucntion mean
Definition at line 121 of file itkImageModelEstimatorBase.h.
virtual void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::EstimateModels | ( | ) | [private, pure virtual] |
The core virtual function to perform modelling of the input data
Implemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, and itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >.
virtual void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GenerateData | ( | void | ) | [protected, virtual] |
This method causes the filter to generate its output.
Reimplemented from itk::LightProcessObject.
Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, and itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >.
virtual InputImageType* itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetInputImage | ( | ) | [virtual] |
Get the input image.
const MembershipFunctionPointerVector itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetMembershipFunctions | ( | ) | const [inline] |
Method to get mean
Definition at line 109 of file itkImageModelEstimatorBase.h.
virtual const char* itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods).
Reimplemented from itk::LightProcessObject.
Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, and itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >.
unsigned int itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetNumberOfMembershipFunctions | ( | ) | [inline] |
Method to number of membership functions
Definition at line 115 of file itkImageModelEstimatorBase.h.
virtual const unsigned int& itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetNumberOfModels | ( | ) | [virtual] |
Get the number of classes.
void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::operator= | ( | const Self & | ) | [private] |
This method causes the filter to generate its output.
Reimplemented from itk::LightProcessObject.
Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, and itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >.
void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::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::LightProcessObject.
Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, and itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >.
virtual void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetInputImage | ( | InputImageType * | _arg | ) | [virtual] |
Type definitions for the training image. Set the input image.
void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetMembershipFunctions | ( | MembershipFunctionPointerVector | membershipFunctions | ) | [inline] |
Set the classified image.
Definition at line 102 of file itkImageModelEstimatorBase.h.
virtual void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetNumberOfModels | ( | unsigned int | _arg | ) | [virtual] |
Set the number of classes.
void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Update | ( | ) |
Define a virtual function to perform model generation from the input data
InputImagePointer itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::m_InputImage [private] |
Container for holding the training image
Definition at line 151 of file itkImageModelEstimatorBase.h.
MembershipFunctionPointerVector itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::m_MembershipFunctions [private] |
Container to hold the membership functions
Definition at line 148 of file itkImageModelEstimatorBase.h.
unsigned int itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::m_NumberOfModels [private] |
Definition at line 145 of file itkImageModelEstimatorBase.h.