itkBayesianClassifierInitializationImageFilter.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 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 BayesianClassifierInitializationImageFilter:
  public
  ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,
                                                TInputImage::ImageDimension > >
{
public:
  typedef BayesianClassifierInitializationImageFilter Self;
  typedef TInputImage                                 InputImageType;
  typedef TProbabilityPrecisionType                   ProbabilityPrecisionType;

  itkStaticConstMacro(Dimension, unsigned int,
                       InputImageType ::ImageDimension);

  typedef VectorImage< ProbabilityPrecisionType,
                       itkGetStaticConstMacro(Dimension) >                   OutputImageType;
  typedef ImageToImageFilter< InputImageType, OutputImageType > Superclass;
  typedef SmartPointer< Self >                                  Pointer;
  typedef SmartPointer< const Self >                            ConstPointer;

  itkNewMacro(Self);

  itkTypeMacro(BayesianClassifierInitializationImageFilter, ImageToImageFilter);

  typedef ImageRegionConstIterator< InputImageType > InputImageIteratorType;

  typedef typename InputImageType::PixelType  InputPixelType;
  typedef typename OutputImageType::PixelType OutputPixelType;

  typedef VectorImage< ProbabilityPrecisionType,
                       itkGetStaticConstMacro(Dimension) >             MembershipImageType;
  typedef typename MembershipImageType::PixelType    MembershipPixelType;
  typedef typename MembershipImageType::Pointer      MembershipImagePointer;
  typedef ImageRegionIterator< MembershipImageType > MembershipImageIteratorType;

  typedef Vector< InputPixelType, 1 > MeasurementVectorType;

  typedef Statistics::MembershipFunctionBase< MeasurementVectorType > MembershipFunctionType;
  typedef typename MembershipFunctionType::Pointer                    MembershipFunctionPointer;

  typedef VectorContainer< unsigned int,
                           MembershipFunctionPointer >  MembershipFunctionContainerType;
  typedef typename MembershipFunctionContainerType::Pointer
  MembershipFunctionContainerPointer;

  virtual void SetMembershipFunctions(MembershipFunctionContainerType
                                      *densityFunctionContainer);
  itkGetModifiableObjectMacro(MembershipFunctionContainer, MembershipFunctionContainerType);

  itkSetMacro(NumberOfClasses, unsigned int);
  itkGetConstMacro(NumberOfClasses, unsigned int);

  virtual void GenerateOutputInformation() ITK_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();
  virtual ~BayesianClassifierInitializationImageFilter() {}
  void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;

  virtual void InitializeMembershipFunctions();

  virtual void GenerateData() ITK_OVERRIDE;

private:
  BayesianClassifierInitializationImageFilter(const Self &) ITK_DELETE_FUNCTION;
  void operator=(const Self &) ITK_DELETE_FUNCTION;

  bool         m_UserSuppliesMembershipFunctions;
  unsigned int m_NumberOfClasses;

  typename MembershipFunctionContainerType::Pointer m_MembershipFunctionContainer;
};
} // end namespace itk

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

#endif