sitkProjectedLandweberDeconvolutionImageFilter.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
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*
*=========================================================================*/
#ifndef sitkProjectedLandweberDeconvolutionImageFilter_h
#define sitkProjectedLandweberDeconvolutionImageFilter_h
 
/*
 * WARNING: DO NOT EDIT THIS FILE!
 * THIS FILE IS AUTOMATICALLY GENERATED BY THE SIMPLEITK BUILD PROCESS.
 * Please look at sitkImageFilterTemplate.h.in to make changes.
 */
 
#include <memory>
 
#include "sitkBasicFilters.h"
#include "sitkImageFilter.h"
 
namespace itk {
  namespace simple {
 
    class SITKBasicFilters_EXPORT ProjectedLandweberDeconvolutionImageFilter : public ImageFilter<2> {
    public:
      typedef ProjectedLandweberDeconvolutionImageFilter Self;
 
      virtual ~ProjectedLandweberDeconvolutionImageFilter();
 
      ProjectedLandweberDeconvolutionImageFilter();
 
      typedef BasicPixelIDTypeList  PixelIDTypeList;
 
 
 
      SITK_RETURN_SELF_TYPE_HEADER SetAlpha ( double Alpha ) { this->m_Alpha = Alpha; return *this; }
 
        double GetAlpha() const { return this->m_Alpha; }
 
      SITK_RETURN_SELF_TYPE_HEADER SetNumberOfIterations ( int NumberOfIterations ) { this->m_NumberOfIterations = NumberOfIterations; return *this; }
 
        int GetNumberOfIterations() const { return this->m_NumberOfIterations; }
 
      SITK_RETURN_SELF_TYPE_HEADER SetNormalize ( bool Normalize ) { this->m_Normalize = Normalize; return *this; }
 
      SITK_RETURN_SELF_TYPE_HEADER NormalizeOn() { return this->SetNormalize(true); }
      SITK_RETURN_SELF_TYPE_HEADER NormalizeOff() { return this->SetNormalize(false); }
 
        bool GetNormalize() const { return this->m_Normalize; }
 
      typedef enum {ZERO_PAD,ZERO_FLUX_NEUMANN_PAD,PERIODIC_PAD} BoundaryConditionType;
 
      SITK_RETURN_SELF_TYPE_HEADER SetBoundaryCondition ( BoundaryConditionType BoundaryCondition ) { this->m_BoundaryCondition = BoundaryCondition; return *this; }
 
        BoundaryConditionType GetBoundaryCondition() const { return this->m_BoundaryCondition; }
 
      typedef enum {SAME,VALID} OutputRegionModeType;
 
      SITK_RETURN_SELF_TYPE_HEADER SetOutputRegionMode ( OutputRegionModeType OutputRegionMode ) { this->m_OutputRegionMode = OutputRegionMode; return *this; }
 
        OutputRegionModeType GetOutputRegionMode() const { return this->m_OutputRegionMode; }
      std::string GetName() const { return std::string ("ProjectedLandweberDeconvolutionImageFilter"); }
 
      std::string ToString() const;
 
 
      Image Execute ( const Image& image1, const Image& image2 );
 
 
      Image Execute ( const Image& image1, const Image& image2, double alpha, int numberOfIterations, bool normalize, ProjectedLandweberDeconvolutionImageFilter::BoundaryConditionType boundaryCondition, ProjectedLandweberDeconvolutionImageFilter::OutputRegionModeType outputRegionMode );
 
    private:
 
      typedef Image (Self::*MemberFunctionType)( const Image& image1, const Image& image2 );
      template <class TImageType> Image ExecuteInternal ( const Image& image1, const Image& image2 );
 
 
      friend struct detail::MemberFunctionAddressor<MemberFunctionType>;
 
      nsstd::auto_ptr<detail::MemberFunctionFactory<MemberFunctionType> > m_MemberFactory;
 
 
      double  m_Alpha;
      int  m_NumberOfIterations;
      /*  */
      bool  m_Normalize;
      BoundaryConditionType  m_BoundaryCondition;
      OutputRegionModeType  m_OutputRegionMode;
    };
 
 
     SITKBasicFilters_EXPORT Image ProjectedLandweberDeconvolution ( const Image& image1, const Image& image2, double alpha = 0.1, int numberOfIterations = 1, bool normalize = false, ProjectedLandweberDeconvolutionImageFilter::BoundaryConditionType boundaryCondition = itk::simple::ProjectedLandweberDeconvolutionImageFilter::ZERO_FLUX_NEUMANN_PAD, ProjectedLandweberDeconvolutionImageFilter::OutputRegionModeType outputRegionMode = itk::simple::ProjectedLandweberDeconvolutionImageFilter::SAME );
 
  }
}
#endif