itkMahalanobisDistanceThresholdImageFunction.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
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
#ifndef __itkMahalanobisDistanceThresholdImageFunction_h
#define __itkMahalanobisDistanceThresholdImageFunction_h

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

namespace itk
{
template< typename TInputImage, typename TCoordRep = float >
class 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;

  virtual bool EvaluateAtContinuousIndex(
    const ContinuousIndexType & index) const;

  virtual bool EvaluateAtIndex(const IndexType & index) const;

  virtual double EvaluateDistance(const PointType & point) const;

  virtual double EvaluateDistanceAtIndex(const IndexType & index) const;

  itkGetConstReferenceMacro(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;

  // Cached versions of the mean and covariance to manage the
  // difference in vector/matrix types between this class and the
  // membership function used internally.
  MeanVectorType       m_Mean;
  CovarianceMatrixType m_Covariance;
};
} // end namespace itk

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

#endif