sitkLabelOverlapMeasuresImageFilter.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 sitkLabelOverlapMeasuresImageFilter_h
#define sitkLabelOverlapMeasuresImageFilter_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 LabelOverlapMeasuresImageFilter : public ImageFilter {
    public:
      using Self = LabelOverlapMeasuresImageFilter;
 
      virtual ~LabelOverlapMeasuresImageFilter();
 
      LabelOverlapMeasuresImageFilter();
 
      using PixelIDTypeList = IntegerPixelIDTypeList;
 
     double GetFalseNegativeError() const { return this->m_FalseNegativeError; };
 
     double GetFalseNegativeError(int64_t label) const { return this->m_pfGetFalseNegativeError(label); };
 
     double GetFalsePositiveError() const { return this->m_FalsePositiveError; };
 
     double GetFalsePositiveError(int64_t label) const { return this->m_pfGetFalsePositiveError(label); };
 
     double GetMeanOverlap() const { return this->m_MeanOverlap; };
 
     double GetMeanOverlap(int64_t label) const { return this->m_pfGetMeanOverlap(label); };
 
     double GetUnionOverlap() const { return this->m_UnionOverlap; };
 
     double GetUnionOverlap(int64_t label) const { return this->m_pfGetUnionOverlap(label); };
 
     double GetVolumeSimilarity() const { return this->m_VolumeSimilarity; };
 
     double GetVolumeSimilarity(int64_t label) const { return this->m_pfGetVolumeSimilarity(label); };
 
     double GetJaccardCoefficient() const { return this->m_JaccardCoefficient; };
 
     double GetJaccardCoefficient(int64_t label) const { return this->m_pfGetJaccardCoefficient(label); };
 
     double GetDiceCoefficient() const { return this->m_DiceCoefficient; };
 
     double GetDiceCoefficient(int64_t label) const { return this->m_pfGetDiceCoefficient(label); };
 
 
      std::string GetName() const { return std::string ("LabelOverlapMeasuresImageFilter"); }
 
      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>;
 
      std::unique_ptr<detail::MemberFunctionFactory<MemberFunctionType> > m_MemberFactory;
 
 
 
      double m_FalseNegativeError{0.0};
 
      std::function<double(int64_t)> m_pfGetFalseNegativeError;
 
      double m_FalsePositiveError{0.0};
 
      std::function<double(int64_t)> m_pfGetFalsePositiveError;
 
      double m_MeanOverlap{0.0};
 
      std::function<double(int64_t)> m_pfGetMeanOverlap;
 
      double m_UnionOverlap{0.0};
 
      std::function<double(int64_t)> m_pfGetUnionOverlap;
 
      double m_VolumeSimilarity{0.0};
 
      std::function<double(int64_t)> m_pfGetVolumeSimilarity;
 
      double m_JaccardCoefficient{0.0};
 
      std::function<double(int64_t)> m_pfGetJaccardCoefficient;
 
      double m_DiceCoefficient{0.0};
 
      std::function<double(int64_t)> m_pfGetDiceCoefficient;
 
      // Holder of process object for active measurements
      itk::ProcessObject *m_Filter{nullptr};
 
    };
 
 
  }
}
#endif