itkMahalanobisDistanceThresholdImageFunction.h

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

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkMahalanobisDistanceThresholdImageFunction.h,v $
  Language:  C++
  Date:      $Date: 2003/09/10 14:29:14 $
  Version:   $Revision: 1.3 $

  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 _itkMahalanobisDistanceThresholdImageFunction_h
#define _itkMahalanobisDistanceThresholdImageFunction_h

#include "itkImageFunction.h"
#include "itkMahalanobisDistanceMembershipFunction.h"

namespace itk
{

template <class TInputImage, class TCoordRep = float>
class ITK_EXPORT MahalanobisDistanceThresholdImageFunction : 
  public ImageFunction<TInputImage,bool,TCoordRep> 
{
public:
  typedef MahalanobisDistanceThresholdImageFunction Self;
  typedef ImageFunction<TInputImage,bool,TCoordRep> Superclass;
  typedef SmartPointer<Self> Pointer;
  typedef SmartPointer<const Self>  ConstPointer;
  
  itkTypeMacro(MahalanobisDistanceThresholdImageFunction, ImageFunction);

  itkNewMacro(Self);

  typedef typename Superclass::InputImageType InputImageType;
  
  typedef typename TInputImage::PixelType PixelType;

  itkStaticConstMacro(ImageDimension, unsigned int,Superclass::ImageDimension);

  typedef typename Superclass::PointType PointType;

  typedef typename Superclass::IndexType IndexType;

  typedef typename Superclass::ContinuousIndexType ContinuousIndexType;

  typedef vnl_matrix<double> CovarianceMatrixType;
  
  typedef vnl_vector<double> MeanVectorType;
  
  virtual bool Evaluate( const PointType& point ) const
    {
    IndexType index;
    this->ConvertPointToNearestIndex( point, index );
    return ( this->EvaluateAtIndex( index ) );
    }

  virtual bool EvaluateAtContinuousIndex( 
    const ContinuousIndexType & index ) const
    {
      IndexType nindex;

      this->ConvertContinuousIndexToNearestIndex (index, nindex);
      return this->EvaluateAtIndex(nindex);
    }

  virtual bool EvaluateAtIndex( const IndexType & index ) const
    {
    double mahalanobisDistance = 
      m_MahalanobisDistanceMembershipFunction->Evaluate( 
                                        m_Image->GetPixel( index ) );
    return ( sqrt( mahalanobisDistance ) <= m_Threshold );
    }

  itkGetConstMacro(Threshold,double);
  itkSetMacro(Threshold,double);

  void SetMean(const MeanVectorType &mean);
  const MeanVectorType & GetMean() const;
 
  void SetCovariance(const CovarianceMatrixType &cov); 
  const CovarianceMatrixType & GetCovariance() const;
  

protected:
  MahalanobisDistanceThresholdImageFunction();
  ~MahalanobisDistanceThresholdImageFunction(){};
  void PrintSelf(std::ostream& os, Indent indent) const;

private:
  MahalanobisDistanceThresholdImageFunction( const Self& ); //purposely not implemented
  void operator=( const Self& ); //purposely not implemented

  double  m_Threshold;

  // This is intended only for Image of Vector pixel type.
  typedef Statistics::MahalanobisDistanceMembershipFunction<
                                            PixelType 
                                              >  MahalanobisDistanceFunctionType;

  typedef typename MahalanobisDistanceFunctionType::Pointer MahalanobisDistanceFunctionPointer;
  MahalanobisDistanceFunctionPointer m_MahalanobisDistanceMembershipFunction;

};

} // namespace itk

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

#endif

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