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.
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*=========================================================================*/
#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.jinja to make changes.
 */
 
#include <memory>
 
#include "sitkBasicFilters.h"
#include "sitkImageFilter.h"
#include "sitkProcessObjectDeleter.h"
 
namespace itk::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); }

  double GetFalseDiscoveryRate() const { return this->m_FalseDiscoveryRate; }

  double GetFalseDiscoveryRate(int64_t label)const { return this->m_pfGetFalseDiscoveryRate(label); }

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

  std::string ToString() const;
 

  void Execute(const Image &sourceImage, const Image &targetImage);
 
 
private:
  using MemberFunctionType = void (Self::*)(const Image *
    sourceImage, const Image *
    targetImage);
  template <class TImageType> void ExecuteInternal(const Image *
    sourceImage, const Image *
    targetImage);
    friend struct detail::MemberFunctionAddressor<MemberFunctionType>;
    static const detail::MemberFunctionFactory<MemberFunctionType> &GetMemberFunctionFactory();
 
 
 
 
    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;
    double m_FalseDiscoveryRate{ 0.0 };
    std::function<double(int64_t)> m_pfGetFalseDiscoveryRate;
 
 
    // Holder of process object for active measurements
    std::unique_ptr<itk::ProcessObject, ProcessObjectDeleter> m_Filter{nullptr};
 
 
 
};
 
 
}
#endif