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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkGoodnessOfFitFunctionBase.h,v $
Language: C++
Date: $Date: 2009-03-04 15:23:49 $
Version: $Revision: 1.7 $
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 __itkGoodnessOfFitFunctionBase_h
#define __itkGoodnessOfFitFunctionBase_h
#include "itkSampleAlgorithmBase.h"
#include "itkFunctionBase.h"
#include "itkGoodnessOfFitComponentBase.h"
namespace itk {
namespace Statistics {
/** \class GoodnessOfFitFunctionBase
* \brief base class for classes calculates different types of goodness-of-fit
* statistics
*
* Goodness-of-fit function quantifies discrepancy between the given model
* with the observation by summarizing the difference between the expected frequency
* and the observed frequency.
*
* \sa GoodnessOfFitMixtureModelCostFunction, GoodnessOfFitComponentBase
*/
template< class TInputHistogram >
class GoodnessOfFitFunctionBase
: public SampleAlgorithmBase< TInputHistogram >
{
public:
/** Standard class typedefs */
typedef GoodnessOfFitFunctionBase Self;
typedef SampleAlgorithmBase< TInputHistogram > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Run-time type information (and related methods). */
itkTypeMacro(GoodnessOfFitFunctionBase,
SampleAlgorithimBase);
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** typedefs from Superclass */
itkStaticConstMacro(MeasurementVectorSize, unsigned int,
TInputHistogram::MeasurementVectorSize);
typedef typename TInputHistogram::MeasurementType MeasurementType;
typedef typename TInputHistogram::MeasurementVectorType MeasurementVectorType;
typedef TInputHistogram InputHistogramType;
/** Sets the observed histogram input */
void SetObservedHistogram(InputHistogramType* histogram);
/** Gets the observed histogram */
InputHistogramType* GetObservedHistogram()
{ return m_ObservedHistogram; }
/** Sets the expected histogram input */
void SetExpectedHistogram(InputHistogramType* histogram);
/** Gets the expected histogram input */
InputHistogramType* GetExpectedHistogram()
{ return m_ExpectedHistogram; }
/** Sets the flag that tells if a subclass needs
* the expected histogram for goodness-of-fit statistics
* calculation. This flag should be set only by a subclass */
itkGetMacro(UseExpectedHistogram, bool);
void SetTotalObservedScale(double* scale)
{
if ( m_TotalObservedScale != scale )
{
m_TotalObservedScale = scale;
this->Modified();
}
}
typedef double OutputType;
OutputType& GetOutput()
{ return m_Output; }
protected:
GoodnessOfFitFunctionBase();
virtual ~GoodnessOfFitFunctionBase(){};
void PrintSelf(std::ostream& os, Indent indent) const;
itkSetMacro(UseExpectedHistogram, bool);
virtual void GenerateData() {}
itkGetConstReferenceMacro(Epsilon,float);
itkGetConstReferenceMacro(LogEpsilon,float);
private:
float m_Epsilon;
float m_LogEpsilon;
bool m_UseExpectedHistogram;
InputHistogramType* m_ObservedHistogram;
InputHistogramType* m_ExpectedHistogram;
double* m_TotalObservedScale;
OutputType m_Output;
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkGoodnessOfFitFunctionBase.txx"
#endif
#endif
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