sitkFastMarchingUpwindGradientImageFilter.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 sitkFastMarchingUpwindGradientImageFilter_h
#define sitkFastMarchingUpwindGradientImageFilter_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 FastMarchingUpwindGradientImageFilter : public ImageFilter {
    public:
      using Self = FastMarchingUpwindGradientImageFilter;
 
      virtual ~FastMarchingUpwindGradientImageFilter();
 
      FastMarchingUpwindGradientImageFilter();
 
      using PixelIDTypeList = BasicPixelIDTypeList;
\
 
      SITK_RETURN_SELF_TYPE_HEADER SetTrialPoints ( std::vector< std::vector<unsigned int> > TrialPoints ) { this->m_TrialPoints = std::move(TrialPoints); return *this; }
 
      std::vector< std::vector< unsigned int > > GetTrialPoints() const { return this->m_TrialPoints; }
      SITK_RETURN_SELF_TYPE_HEADER AddTrialPoint( std::vector< unsigned int > point ) { this->m_TrialPoints.push_back(std::move(point)); return *this;}
      SITK_RETURN_SELF_TYPE_HEADER ClearTrialPoints( ) { this->m_TrialPoints.clear(); return *this;}
\
 
      SITK_RETURN_SELF_TYPE_HEADER SetNumberOfTargets ( unsigned int NumberOfTargets ) { this->m_NumberOfTargets = NumberOfTargets; return *this; }
 
      unsigned int GetNumberOfTargets() const { return this->m_NumberOfTargets; }\
 
      SITK_RETURN_SELF_TYPE_HEADER SetTargetPoints ( std::vector< std::vector<unsigned int> > TargetPoints ) { this->m_TargetPoints = std::move(TargetPoints); return *this; }
 
      std::vector< std::vector< unsigned int > > GetTargetPoints() const { return this->m_TargetPoints; }
      SITK_RETURN_SELF_TYPE_HEADER AddTargetPoint( std::vector< unsigned int > point ) { this->m_TargetPoints.push_back(std::move(point)); return *this;}
      SITK_RETURN_SELF_TYPE_HEADER ClearTargetPoints( ) { this->m_TargetPoints.clear(); return *this;}
\
 
      SITK_RETURN_SELF_TYPE_HEADER SetTargetOffset ( double TargetOffset ) { this->m_TargetOffset = TargetOffset; return *this; }
 
      double GetTargetOffset() const { return this->m_TargetOffset; }\
 
      SITK_RETURN_SELF_TYPE_HEADER SetNormalizationFactor ( double NormalizationFactor ) { this->m_NormalizationFactor = NormalizationFactor; return *this; }
 
      double GetNormalizationFactor() const { return this->m_NormalizationFactor; }
     Image GetGradientImage() const { return this->m_GradientImage; };
 
     double GetTargetValue() const { return this->m_TargetValue; };
 
 
      std::string GetName() const { return std::string ("FastMarchingUpwindGradientImageFilter"); }
 
      std::string ToString() const;
 
 
      Image Execute ( const Image& image1 );
 
    private:
 
      using MemberFunctionType = Image (Self::*)( const Image& image1 );
      template <class TImageType> Image ExecuteInternal ( const Image& image1 );
 
 
      friend struct detail::MemberFunctionAddressor<MemberFunctionType>;
 
      std::unique_ptr<detail::MemberFunctionFactory<MemberFunctionType> > m_MemberFactory;
 
 
      std::vector< std::vector<unsigned int> >  m_TrialPoints{std::vector< std::vector<unsigned int > >()};
 
      unsigned int  m_NumberOfTargets{0u};
 
      std::vector< std::vector<unsigned int> >  m_TargetPoints{std::vector< std::vector<unsigned int > >()};
 
      double  m_TargetOffset{1.0};
 
      double  m_NormalizationFactor{1.0};
 
      /* Docs */
      Image m_GradientImage{Image()};
      /* Docs */
      double m_TargetValue{0.0};
 
 
    };
 
     SITKBasicFilters_EXPORT Image FastMarchingUpwindGradient ( const Image& image1, std::vector< std::vector<unsigned int> > trialPoints = std::vector< std::vector<unsigned int > >(), unsigned int numberOfTargets = 0u, std::vector< std::vector<unsigned int> > targetPoints = std::vector< std::vector<unsigned int > >(), double targetOffset = 1.0, double normalizationFactor = 1.0 );
 
  }
}
#endif