sitkSimilarityIndexImageFilter.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 sitkSimilarityIndexImageFilter_h
#define sitkSimilarityIndexImageFilter_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 SimilarityIndexImageFilter : public ImageFilter {
public:
  using Self = SimilarityIndexImageFilter;

  virtual ~SimilarityIndexImageFilter();

  SimilarityIndexImageFilter();

  using PixelIDTypeList = BasicPixelIDTypeList;
 
 
 

  double GetSimilarityIndex() const { return this->m_SimilarityIndex; }

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

  std::string ToString() const;
 

  void Execute(const Image &image1, const Image &image2);
 
 
private:
  using MemberFunctionType = void (Self::*)(const Image &image1, const Image &image2);
  template <class TImageType> void ExecuteInternal(const Image &image1, const Image &image2);
    friend struct detail::MemberFunctionAddressor<MemberFunctionType>;
    static const detail::MemberFunctionFactory<MemberFunctionType> &GetMemberFunctionFactory();
 
 
 
 
    double m_SimilarityIndex{ 0.0 };
 
 
 
 
};
 
 
}
#endif