sitkFastMarchingImageFilter.h

Go to the documentation of this file.

/*=========================================================================
*
*  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 sitkFastMarchingImageFilter_h
#define sitkFastMarchingImageFilter_h
 
/*
 * WARNING: DO NOT EDIT THIS FILE!
 * THIS FILE IS AUTOMATICALLY GENERATED BY THE SIMPLEITK BUILD PROCESS.
 * Please look at sitkImageFilterTemplate.h.jinja to make changes.
 */
 
#include <memory>
 
#include "sitkBasicFilters.h"
#include "sitkImageFilter.h"
#include "sitkProcessObjectDeleter.h"
 
namespace itk::simple {

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

  virtual ~FastMarchingImageFilter();

  FastMarchingImageFilter();

  using PixelIDTypeList = BasicPixelIDTypeList;
 
 
 

  void
  SetTrialPoints(std::vector< std::vector<unsigned int> > TrialPoints )
    { this->m_TrialPoints = std::move(TrialPoints); }

  std::vector< std::vector< unsigned int > >
  GetTrialPoints() const { return this->m_TrialPoints; }
  void
  AddTrialPoint( std::vector< unsigned int > point ) { this->m_TrialPoints.push_back(std::move(point));}
  void
  ClearTrialPoints( ) { this->m_TrialPoints.clear();}
 

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

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

  void
  SetStoppingValue(double StoppingValue )
    { this->m_StoppingValue = StoppingValue; }

  double
  GetStoppingValue() const { return this->m_StoppingValue; }
 

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

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

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

  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>;
    static const detail::MemberFunctionFactory<MemberFunctionType> &GetMemberFunctionFactory();
 
 
    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<double>::max()/2.0 };
 
    std::vector<double> m_InitialTrialValues{ std::vector<double>() };
 
 
 
 
 
 
 
};
 

SITKBasicFilters_EXPORT Image FastMarching(
    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<double>::max()/2.0, std::vector<double> initialTrialValues = std::vector<double>()
);

 
}
#endif