itkBayesianClassifierInitializationImageFilter.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
 *
 *         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 itkBayesianClassifierInitializationImageFilter_h
#define itkBayesianClassifierInitializationImageFilter_h
 
#include "itkVectorImage.h"
#include "itkVectorContainer.h"
#include "itkImageToImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkMembershipFunctionBase.h"
 
namespace itk
{
template <typename TInputImage, typename TProbabilityPrecisionType = float>
class ITK_TEMPLATE_EXPORT BayesianClassifierInitializationImageFilter
  : public ImageToImageFilter<TInputImage, VectorImage<TProbabilityPrecisionType, TInputImage::ImageDimension>>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(BayesianClassifierInitializationImageFilter);
 
  using Self = BayesianClassifierInitializationImageFilter;
  using InputImageType = TInputImage;
  using ProbabilityPrecisionType = TProbabilityPrecisionType;
 
  static constexpr unsigned int Dimension = InputImageType::ImageDimension;
 
  using OutputImageType = VectorImage<ProbabilityPrecisionType, Self::Dimension>;
  using Superclass = ImageToImageFilter<InputImageType, OutputImageType>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;
 
  itkNewMacro(Self);
 
  itkTypeMacro(BayesianClassifierInitializationImageFilter, ImageToImageFilter);
 
  using InputImageIteratorType = ImageRegionConstIterator<InputImageType>;
 
  using InputPixelType = typename InputImageType::PixelType;
  using OutputPixelType = typename OutputImageType::PixelType;
 
  using MembershipImageType = VectorImage<ProbabilityPrecisionType, Self::Dimension>;
  using MembershipPixelType = typename MembershipImageType::PixelType;
  using MembershipImagePointer = typename MembershipImageType::Pointer;
  using MembershipImageIteratorType = ImageRegionIterator<MembershipImageType>;
 
  using MeasurementVectorType = Vector<InputPixelType, 1>;
 
  using MembershipFunctionType = Statistics::MembershipFunctionBase<MeasurementVectorType>;
  using MembershipFunctionPointer = typename MembershipFunctionType::Pointer;
 
  using MembershipFunctionContainerType = VectorContainer<unsigned int, MembershipFunctionPointer>;
  using MembershipFunctionContainerPointer = typename MembershipFunctionContainerType::Pointer;
 
  virtual void
  SetMembershipFunctions(MembershipFunctionContainerType * membershipFunction);
  itkGetModifiableObjectMacro(MembershipFunctionContainer, MembershipFunctionContainerType);
 
  itkSetMacro(NumberOfClasses, unsigned int);
  itkGetConstMacro(NumberOfClasses, unsigned int);
 
  void
  GenerateOutputInformation() override;
 
#ifdef ITK_USE_CONCEPT_CHECKING
  // Begin concept checking
  itkConceptMacro(InputMultiplyOperatorCheck, (Concept::MultiplyOperator<InputPixelType>));
  itkConceptMacro(DoubleConvertibleToProbabilityCheck, (Concept::Convertible<double, TProbabilityPrecisionType>));
  itkConceptMacro(InputHasNumericTraitsCheck, (Concept::HasNumericTraits<InputPixelType>));
  itkConceptMacro(ProbabilityHasNumericTraitsCheck, (Concept::HasNumericTraits<TProbabilityPrecisionType>));
  itkConceptMacro(DoublePlusInputCheck, (Concept::AdditiveOperators<double, InputPixelType>));
  // End concept checking
#endif
 
protected:
  BayesianClassifierInitializationImageFilter();
  ~BayesianClassifierInitializationImageFilter() override = default;
  void
  PrintSelf(std::ostream & os, Indent indent) const override;
 
  virtual void
  InitializeMembershipFunctions();
 
  void
  GenerateData() override;
 
private:
  bool         m_UserSuppliesMembershipFunctions{ false };
  unsigned int m_NumberOfClasses{ 0 };
 
  typename MembershipFunctionContainerType::Pointer m_MembershipFunctionContainer;
};
} // end namespace itk
 
#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkBayesianClassifierInitializationImageFilter.hxx"
#endif
 
#endif