pi_feature.h

   1
   2 ///////////////////////////////////////////////////////////////////////////
   3 // This program is free software: you can redistribute it and/or modify  //
   4 // it under the terms of the version 3 of the GNU General Public License //
   5 // as published by the Free Software Foundation.                         //
   6 //                                                                       //
   7 // This program is distributed in the hope that it will be useful, but   //
   8 // WITHOUT ANY WARRANTY; without even the implied warranty of            //
   9 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU      //
  10 // General Public License for more details.                              //
  11 //                                                                       //
  12 // You should have received a copy of the GNU General Public License     //
  13 // along with this program. If not, see <http://www.gnu.org/licenses/>.  //
  14 //                                                                       //
  15 // Written by Francois Fleuret, (C) IDIAP                                //
  16 // Contact <francois.fleuret@idiap.ch> for comments & bug reports        //
  17 ///////////////////////////////////////////////////////////////////////////
  18
  19 /*
  20
  21   This class implement the notion of pi-feature, that is a feature
  22   which can be evaluated on a pair image / referential, where the
  23   referential is computed from a pose cell.
  24
  25 */
  26
  27 #ifndef PI_FEATURE_H
  28 #define PI_FEATURE_H
  29
  30 #include "misc.h"
  31 #include "global.h"
  32 #include "rich_image.h"
  33 #include "pi_referential.h"
  34
  35 class PiFeature {
  36
  37   enum {
  38     PF_EDGE_THRESHOLDING,
  39     PF_EDGE_HISTOGRAM_COMPARISON,
  40     PF_GRAYSCALE_HISTOGRAM_COMPARISON,
  41   } _type;
  42
  43   int _tag, _edge_scale;
  44   Rectangle _window_a, _window_b;
  45   int _registration_a, _registration_b;
  46
  47   int random_registration_mode(int level);
  48   void randomize_window(int registration_mode, Rectangle *window);
  49   void draw_window(RGBImage *image, int registration_mode, Rectangle *window);
  50
  51   // EDGE THRESHOLDING
  52
  53   scalar_t response_edge_thresholding(RichImage *image, PiReferential *referential);
  54   void draw_edge_thresholding(RGBImage *image, int r, int g, int b,
  55                               PiReferential *referential);
  56   void print_edge_thresholding(ostream *os);
  57
  58   // EDGE ORIENTATION HISTOGRAM COMPARISON
  59
  60   scalar_t response_edge_histogram_comparison(RichImage *image, PiReferential *referential);
  61   void draw_edge_histogram_comparison(RGBImage *image, int r, int g, int b,
  62                                       PiReferential *referential);
  63   void print_edge_histogram_comparison(ostream *os);
  64
  65   // GRAYSCALE HISTOGRAM COMPARISON
  66
  67   scalar_t response_grayscale_histogram_comparison(RichImage *image, PiReferential *referential);
  68   void draw_grayscale_histogram_comparison(RGBImage *image,
  69                                            int r, int g, int b,
  70                                            PiReferential *referential);
  71   void print_grayscale_histogram_comparison(ostream *os);
  72
  73 public:
  74
  75   void randomize(int level);
  76
  77   scalar_t response(RichImage *image, PiReferential *referential);
  78
  79   void draw(RGBImage *image,
  80             int r, int g, int b,
  81             PiReferential *referential);
  82
  83   void print(ostream *os);
  84 };
  85
  86 #endif