📄 itksampleclassifierwithmask.h
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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSampleClassifierWithMask.h,v $
Language: C++
Date: $Date: 2005-07-26 15:55:04 $
Version: $Revision: 1.5 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkSampleClassifierWithMask_h
#define __itkSampleClassifierWithMask_h
#include <vector>
#include "itkObject.h"
#include "itkExceptionObject.h"
#include "itkSubsample.h"
#include "itkMembershipSample.h"
#include "itkSampleClassifier.h"
namespace itk{
namespace Statistics{
/** \class SampleClassifierWithMask
* \brief Integration point for MembershipCalculator, DecisionRule, and
* target sample data. This class is functionally identical to the
* SampleClassifier, except that users can perform only part of the
* input sample that belongs to the subset of classes.
*
* To this purpose, this class needs a class mask sample that has
* class labels as measurement vectors. Using SetMask method, users can
* provide the class mask sample.
*
* To specify which classes should be included for classification, users
* must call SetSelectedClassLabels method with class labels that will be
* included. All measurement vectors that belong to the non-selected
* classes will be classified to the class label that has been given
* by the SetOtherClassLabel method.
*
* Except for the modifications mentioned above, the basic behavior and
* methods are identical to those of SampleClassifier.
*
* <b>Recent API changes:</b>
* The static const macro to get the length of a measurement vector,
* \c MeasurementVectorSize has been removed to allow the length of a measurement
* vector to be specified at run time. Please use the function
* GetMeasurementVectorSize() instead.
*
* \sa SampleClassifier
*/
template< class TSample, class TMaskSample >
class ITK_EXPORT SampleClassifierWithMask :
public SampleClassifier< TSample >
{
public:
/** Standard class typedef*/
typedef SampleClassifierWithMask Self;
typedef SampleClassifier< TSample > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Standard macros */
itkTypeMacro(SampleClassifierWithMask, SampleClassifier);
itkNewMacro(Self) ;
/** Superclass typedefs */
typedef typename Superclass::OutputType OutputType ;
typedef typename Superclass::ClassLabelType ClassLabelType ;
typedef typename Superclass::ClassLabelVectorType ClassLabelVectorType ;
/** typedefs from TSample object */
typedef typename TSample::MeasurementType MeasurementType ;
typedef typename TSample::MeasurementVectorType MeasurementVectorType ;
/** typedefs from Superclass */
typedef typename Superclass::MembershipFunctionPointerVector
MembershipFunctionPointerVector ;
void SetMask( TMaskSample* mask ) ;
TMaskSample* GetMask()
{ return m_Mask.GetPointer() ; }
void SetSelectedClassLabels( ClassLabelVectorType& labels)
{ m_SelectedClassLabels = labels ; }
void SetOtherClassLabel( ClassLabelType label)
{ m_OtherClassLabel = label ; }
protected:
SampleClassifierWithMask() ;
virtual ~SampleClassifierWithMask() {}
void PrintSelf(std::ostream& os, Indent indent) const;
/** Starts the classification process */
void GenerateData() ;
private:
/** Mask sample pointer*/
typename TMaskSample::Pointer m_Mask ;
ClassLabelVectorType m_SelectedClassLabels ;
ClassLabelType m_OtherClassLabel ;
} ; // end of class
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkSampleClassifierWithMask.txx"
#endif
#endif
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