itkGoodnessOfFitComponentBase.h

Go to the documentation of this file.

/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkGoodnessOfFitComponentBase.h,v $
  Language:  C++
  Date:      $Date: 2005/07/26 15:54:56 $
  Version:   $Revision: 1.9 $

  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 __itkGoodnessOfFitComponentBase_h
#define __itkGoodnessOfFitComponentBase_h

#include "itkObject.h"
#include "itkArray.h"
#include "itkHistogram.h"
#include "itkFunctionBase.h"
#include "itkNeighborhoodSampler.h"
#include "itkSampleToHistogramProjectionFilter.h"
#include "vnl/vnl_matrix.h"
#include "itkVariableSizeMatrix.h"

namespace itk{ 
namespace Statistics{

template< class TInputSample >
class GoodnessOfFitComponentBase 
  : public Object 
{
public:
  typedef GoodnessOfFitComponentBase Self;
  typedef Object Superclass;
  typedef SmartPointer< Self > Pointer;
  typedef SmartPointer< const Self > ConstPointer;
  
  itkTypeMacro(GoodnessOfFitComponentBase, Object) ;
  
  typedef TInputSample InputSampleType ;

  
  typedef typename TInputSample::MeasurementType MeasurementType ;
  typedef typename TInputSample::MeasurementVectorType MeasurementVectorType ;
  typedef typename TInputSample::MeasurementVectorSizeType MeasurementVectorSizeType;

  typedef Subsample< TInputSample > ResampledSampleType ;

  typedef Histogram< float, 1 > HistogramType ;
  typedef typename HistogramType::Pointer         HistogramPointer ;
  typedef typename HistogramType::ConstPointer    HistogramConstPointer ;

  typedef Array< double >  ParametersType ;

  typedef Array< double >  CenterType;

  typedef double RadiusType ;

  typedef Array< double >   MeanType ;


  typedef double StandardDeviationType ;

  virtual void SetInputSample(const TInputSample* sample) ;
  const TInputSample* GetInputSample() const;

  virtual unsigned int GetNumberOfParameters() const = 0 ;

  virtual void SetParameters(const ParametersType &parameters) ;
  ParametersType* GetParameters()
  { return m_Parameters ; }

  void SetUseExpectedHistogram(bool flag) ;

  void SetHistogramNumberOfBins(int numberOfBins) ;
  int GetHistogramNumberOfBins()
  { return m_HistogramNumberOfBins ; }

  void SetHistogramUseEquiProbableBins(bool flag) ;
  bool GetHistogramUseEquiProbableBins()
  { return m_HistogramUseEquiProbableBins ; }

  void SetHistogramBinOverlap(double overlap) ;
  double GetHistogramBinOverlap()
  { return m_HistogramBinOverlap ; }

  void SetHistogramExtent(double extent) ;
  double GetHistogramExtent()
  { return m_HistogramExtent ; }

  virtual CenterType* GetCenter() = 0 ;
  
  virtual RadiusType* GetRadius() = 0 ;

  virtual MeanType* GetMean() = 0 ;

  virtual RadiusType* GetStandardDeviation() = 0 ;

  virtual void CreateHistograms() ;

  virtual void Resample() ;

  ResampledSampleType* GetResampledSample()
  { return m_Resampler->GetOutput() ; }

  virtual unsigned int GetResampledSampleSize() ;

  virtual void CalculateProjectionAxes() = 0 ;

  virtual void Project(int projectionAxisIndex) ;

  virtual void UpdateExpectedHistogram() ;

  double* GetTotalObservedScale()
  { return &m_TotalObservedScale ; } 

  virtual double GetCumulativeProbability(double x) 
    const = 0 ;

  virtual double GetProbabilityDensity(MeasurementVectorType &measurements) 
    const = 0 ;

  virtual double GetProportion() const
  { return m_Proportion ; }

  HistogramType *  GetObservedHistogram();
  
  HistogramType *  GetExpectedHistogram();

  virtual void PrintParameters(std::ostream &os) const = 0 ;

  virtual ParametersType GetFullParameters() const = 0 ;

  itkGetConstMacro( MeasurementVectorSize, MeasurementVectorSizeType );
  
protected:
  GoodnessOfFitComponentBase() ;
  virtual ~GoodnessOfFitComponentBase() ;
  virtual void PrintSelf(std::ostream& os, Indent indent) const ;

  typedef NeighborhoodSampler< TInputSample > ResamplerType ;

  typedef SampleToHistogramProjectionFilter< ResampledSampleType, float > 
  ProjectorType ;

  
  typedef VariableSizeMatrix< double > ProjectionAxisArrayType;


  ProjectionAxisArrayType* GetProjectionAxes()
  { return &m_ProjectionAxes ; }

  virtual void CreateEquiRangeBins() ;

  virtual void CreateEquiProbableBins() ;

private:
  MeasurementVectorSizeType m_MeasurementVectorSize;

  const TInputSample* m_InputSample ;
  ParametersType m_Parameters ;

  typename ResamplerType::Pointer m_Resampler ;
  typename ProjectorType::Pointer m_Projector ;

  ProjectionAxisArrayType m_ProjectionAxes ;

  unsigned int m_HistogramNumberOfBins ;
  bool m_HistogramUseEquiProbableBins ;
  double m_HistogramExtent ;
  double m_HistogramBinOverlap ;
  bool m_HistogramSizeChanged ;

  double m_TotalObservedScale ;
  double m_HistogramMean ;
  double m_HistogramStandardDeviation  ;

  double m_Proportion ;

  HistogramPointer m_ObservedHistogram ;
  HistogramPointer m_ExpectedHistogram ;
  bool m_UseExpectedHistogram ;

} ; // end of class

} // end of namespace Statistics 
} // end of namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkGoodnessOfFitComponentBase.txx"
#endif

#endif

---