sitkFastMarchingBaseImageFilter.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 sitkFastMarchingBaseImageFilter_h
#define sitkFastMarchingBaseImageFilter_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::simple {

    class SITKBasicFilters_EXPORT FastMarchingBaseImageFilter : public ImageFilter {
    public:
      using Self = FastMarchingBaseImageFilter;

      virtual ~FastMarchingBaseImageFilter();

      FastMarchingBaseImageFilter();

      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 SetNormalizationFactor ( double NormalizationFactor ) { this->m_NormalizationFactor = NormalizationFactor; return *this; }

      double GetNormalizationFactor() const { return this->m_NormalizationFactor; }\

      SITK_RETURN_SELF_TYPE_HEADER SetStoppingValue ( double StoppingValue ) { this->m_StoppingValue = StoppingValue; return *this; }

      double GetStoppingValue() const { return this->m_StoppingValue; }
 
      typedef enum {Nothing,NoHandles,Strict} TopologyCheckType;\

      SITK_RETURN_SELF_TYPE_HEADER SetTopologyCheck ( TopologyCheckType TopologyCheck ) { this->m_TopologyCheck = TopologyCheck; return *this; }

      TopologyCheckType GetTopologyCheck() const { return this->m_TopologyCheck; }\

      SITK_RETURN_SELF_TYPE_HEADER SetInitialTrialValues ( std::vector<double> InitialTrialValues ) { this->m_InitialTrialValues = InitialTrialValues; return *this; }

      std::vector<double> GetInitialTrialValues() const { return this->m_InitialTrialValues; }

      std::string GetName() const { return std::string ("FastMarchingBaseImageFilter"); }

      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 > >()};
 
      double  m_NormalizationFactor{1.0};
 
      double  m_StoppingValue{std::numeric_limits<float>::max()/2.0};
 
      /*  */
      TopologyCheckType  m_TopologyCheck{itk::simple::FastMarchingBaseImageFilter::Nothing};
 
      std::vector<double>  m_InitialTrialValues{std::vector<double>()};
 
 
    };

 
     SITKBasicFilters_EXPORT Image FastMarchingBase ( const Image& image1, std::vector< std::vector<unsigned int> > trialPoints = std::vector< std::vector<unsigned int > >(), double normalizationFactor = 1.0, double stoppingValue = std::numeric_limits<float>::max()/2.0, FastMarchingBaseImageFilter::TopologyCheckType topologyCheck = itk::simple::FastMarchingBaseImageFilter::Nothing, std::vector<double> initialTrialValues = std::vector<double>() );

}
#endif