itkMahalanobisDistanceThresholdImageFunction.h

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/*=========================================================================
 *
 *  Copyright NumFOCUS
 *
 *  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
 *
 *         https://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 TCoordinate = float>
class ITK_TEMPLATE_EXPORT MahalanobisDistanceThresholdImageFunction
  : public ImageFunction<TInputImage, bool, TCoordinate>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(MahalanobisDistanceThresholdImageFunction);
 
  using Self = MahalanobisDistanceThresholdImageFunction;
  using Superclass = ImageFunction<TInputImage, bool, TCoordinate>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;
 
  itkOverrideGetNameOfClassMacro(MahalanobisDistanceThresholdImageFunction);
 
  itkNewMacro(Self);
 
  using typename Superclass::InputImageType;
 
  using PixelType = typename TInputImage::PixelType;
 
  static constexpr unsigned int ImageDimension = Superclass::ImageDimension;
 
  using typename Superclass::PointType;
 
  using typename Superclass::IndexType;
 
  using typename Superclass::ContinuousIndexType;
 
  using CovarianceMatrixType = vnl_matrix<double>;
 
  using MeanVectorType = vnl_vector<double>;
 
  bool
  Evaluate(const PointType & point) const override;
 
  bool
  EvaluateAtContinuousIndex(const ContinuousIndexType & index) const override;
 
  bool
  EvaluateAtIndex(const IndexType & index) const override;
 
  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);
 
  itkGetConstReferenceMacro(Mean, MeanVectorType);
 
  void
  SetCovariance(const CovarianceMatrixType & covariance);
 
  itkGetConstReferenceMacro(Covariance, CovarianceMatrixType);
 
protected:
  MahalanobisDistanceThresholdImageFunction();
  ~MahalanobisDistanceThresholdImageFunction() override = default;
  void
  PrintSelf(std::ostream & os, Indent indent) const override;
 
private:
  double m_Threshold{};
 
  // This is intended only for Image of Vector pixel type.
  using MahalanobisDistanceFunctionType = Statistics::MahalanobisDistanceMembershipFunction<PixelType>;
 
  using MahalanobisDistanceFunctionPointer = typename MahalanobisDistanceFunctionType::Pointer;
  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