analyse_result_blob.h

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#ifndef MMVL_ANALYSE_RESULT_BLOB_HH
#define MMVL_ANALYSE_RESULT_BLOB_HH

#define MAX(a,b) (a)>(b)?(a):(b)  
#define ABS(x) (x)>=0?(x):-(x)

#include <cassert>
#include <cmath>
#include <iostream>
#include <vector>
#include <image.h>

namespace mimas{
  namespace hf{
    
    template<typename Hypothesis_T, typename Pixel_T>
    class analyse_result_blob{

    public:
      class set
      {
      public:
  float DISTANCE;
  float THRESHOLD_TO_BE_CENTER;
  float MERGE_DISTANCE;
  
  set(double threshold_to_be_center, float peak_distance, float merge_distance)
    :DISTANCE(peak_distance), THRESHOLD_TO_BE_CENTER(threshold_to_be_center),
     MERGE_DISTANCE(merge_distance)
  {}
      };
      
      analyse_result_blob(std::vector<Hypothesis_T> &hypotheses, image<Pixel_T> &image, set analyse_param)
  : peak_distance(analyse_param.DISTANCE), weight_threshold(analyse_param.THRESHOLD_TO_BE_CENTER),
    merge_distance(analyse_param.MERGE_DISTANCE), 
    hypotheses_AR(hypotheses), image_AR(image)
      {}
      
      std::vector<Hypothesis_T> analyse(void);
      
    private:

      float peak_distance;
      float weight_threshold;
      float merge_distance;

      std::vector< std::vector<Hypothesis_T> > peaks;
      std::vector<Hypothesis_T> blobs;
      
      std::vector<Hypothesis_T> &hypotheses_AR;
      image<Pixel_T> &image_AR;  
    };

#include "analyse_result_blob.tcc"    
  }
}
#endif

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