itkMahalanobisDistanceMembershipFunction.h

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 *  Copyright Insight Software Consortium
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
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 *         http://www.apache.org/licenses/LICENSE-2.0.txt
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 *  See the License for the specific language governing permissions and
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#ifndef __itkMahalanobisDistanceMembershipFunction_h
#define __itkMahalanobisDistanceMembershipFunction_h

#include "itkVariableSizeMatrix.h"

#include "itkMembershipFunctionBase.h"

namespace itk
{
namespace Statistics
{
template< typename TVector >
class MahalanobisDistanceMembershipFunction:
  public MembershipFunctionBase< TVector >
{
public:
  typedef MahalanobisDistanceMembershipFunction Self;
  typedef MembershipFunctionBase< TVector >     Superclass;
  typedef SmartPointer< Self >                  Pointer;
  typedef SmartPointer< const Self >            ConstPointer;

  itkTypeMacro(MahalanobisDistanceMembershipFunction, MembershipFunctionBase);
  itkNewMacro(Self);

  typedef typename Superclass::Pointer MembershipFunctionPointer;

  typedef TVector MeasurementVectorType;

  typedef typename Superclass::MeasurementVectorSizeType MeasurementVectorSizeType;

  typedef typename itk::NumericTraits< MeasurementVectorType >::RealType MeasurementVectorRealType;
  typedef MeasurementVectorRealType  MeanVectorType;

  typedef VariableSizeMatrix< double > CovarianceMatrixType;

  void SetMean(const MeanVectorType & mean);

  itkGetConstReferenceMacro(Mean, MeanVectorType);

  void SetCovariance(const CovarianceMatrixType & cov);

  itkGetConstReferenceMacro(Covariance, CovarianceMatrixType);

  double Evaluate(const MeasurementVectorType & measurement) const;

  virtual typename LightObject::Pointer InternalClone() const;

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

private:
  MeanVectorType       m_Mean;               // mean
  CovarianceMatrixType m_Covariance;         // covariance matrix

  // inverse covariance matrix. automatically calculated
  // when covariace matirx is set.
  CovarianceMatrixType m_InverseCovariance;

  bool m_CovarianceNonsingular;
};
} // end of namespace Statistics
} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMahalanobisDistanceMembershipFunction.hxx"
#endif

#endif