itkVectorThresholdSegmentationLevelSetFunction.h

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

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkVectorThresholdSegmentationLevelSetFunction.h,v $
  Language:  C++
  Date:      $Date: 2009-01-27 19:30:16 $
  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 __itkVectorThresholdSegmentationLevelSetFunction_h
#define __itkVectorThresholdSegmentationLevelSetFunction_h

#include "itkSegmentationLevelSetFunction.h"
#include "itkNumericTraits.h"
#include "itkMahalanobisDistanceMembershipFunction.h"
namespace itk {

template <class TImageType, class TFeatureImageType>
class ITK_EXPORT VectorThresholdSegmentationLevelSetFunction
  : public SegmentationLevelSetFunction<TImageType, TFeatureImageType>
{
public:
  typedef VectorThresholdSegmentationLevelSetFunction Self;
  typedef SegmentationLevelSetFunction<TImageType, TFeatureImageType>
                                                      Superclass;
  typedef SmartPointer<Self>                          Pointer;
  typedef SmartPointer<const Self>                    ConstPointer;
  typedef TFeatureImageType                           FeatureImageType;

  

  itkNewMacro(Self);

  itkTypeMacro( VectorThresholdSegmentationLevelSetFunction, SegmentationLevelSetFunction );

  typedef typename Superclass::ImageType         ImageType;
  typedef typename Superclass::ScalarValueType   ScalarValueType;
  typedef typename Superclass::FeatureScalarType FeatureScalarType;
  typedef typename Superclass::RadiusType        RadiusType;

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

  typedef typename FeatureImageType::PixelType FeatureImagePixelType;
  itkStaticConstMacro(NumberOfComponents, unsigned int,
                        FeatureImagePixelType::Dimension);


  typedef Statistics::MahalanobisDistanceMembershipFunction<FeatureScalarType>
                                                                 MahalanobisFunctionType;
  typedef typename MahalanobisFunctionType::Pointer              MahalanobisFunctionPointer;
  typedef typename MahalanobisFunctionType::MeanVectorType       MeanVectorType;
  typedef typename MahalanobisFunctionType::CovarianceMatrixType CovarianceMatrixType;
  
  void SetMean(const MeanVectorType &mean) 
    {  m_Mahalanobis->SetMean(mean); }
  const MeanVectorType & GetMean() const 
    {  return m_Mahalanobis->GetMean(); }

  
  void SetCovariance(const CovarianceMatrixType &cov) 
  { m_Mahalanobis->SetCovariance(cov); }
  const CovarianceMatrixType & GetCovariance() const
  { return m_Mahalanobis->GetCovariance(); }
  
  void SetThreshold(ScalarValueType thr) 
    {
    m_Threshold = thr;
    }
  ScalarValueType GetThreshold() 
    {
    return m_Threshold;
    }

  virtual void CalculateSpeedImage();

  virtual void Initialize(const RadiusType &r)
    {
    Superclass::Initialize(r);
    
    this->SetAdvectionWeight( NumericTraits<ScalarValueType>::Zero);
    this->SetPropagationWeight(-1.0 * NumericTraits<ScalarValueType>::One);
    this->SetCurvatureWeight(NumericTraits<ScalarValueType>::One);
    }

  
protected:
  VectorThresholdSegmentationLevelSetFunction()
    {
    MeanVectorType mean( NumberOfComponents );
    CovarianceMatrixType covariance( NumberOfComponents, NumberOfComponents );
    
    mean.fill(NumericTraits<ITK_TYPENAME FeatureScalarType::ValueType>::Zero);
    covariance.fill(NumericTraits<ITK_TYPENAME FeatureScalarType::ValueType>::Zero);
  
    m_Mahalanobis = MahalanobisFunctionType::New();
    m_Mahalanobis->SetMean(mean);
    m_Mahalanobis->SetCovariance(covariance);
    
    this->SetAdvectionWeight(0.0);
    this->SetPropagationWeight(1.0);
    this->SetThreshold(1.8);
    }
  virtual ~VectorThresholdSegmentationLevelSetFunction(){}

  VectorThresholdSegmentationLevelSetFunction(const Self&); //purposely not implemented
  void operator=(const Self&); //purposely not implemented
  
  void PrintSelf(std::ostream& os, Indent indent) const
    {
    Superclass::PrintSelf(os, indent );
    os << indent << "MahalanobisFunction: " << m_Mahalanobis << std::endl;
    os << indent << "ThresholdValue: " << m_Threshold << std::endl;
    }
  
  
  MahalanobisFunctionPointer m_Mahalanobis;
  ScalarValueType            m_Threshold;
  
};
  
} // end namespace itk

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

#endif

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