class_2dim_supclass_2dim_supClass2dimSupClass2dimSupClass2dimSup klassifiziert Bildpunkte mit Hilfe von
zweikanaligen Bildern und einem zweidimensionalen Merkmalsraum.
Für jeden Bildpunkt werden zwei Grauwerte (aus jedem Bild einer)
als Merkmale verwendet. Der Merkmalsraum wird durch eine Region
repräsentiert. Die Klassifikation wird wie folgt durchgeführt:
Regionen, die das Klassifikationskriterium erfüllen.
Beispiel (C++ (HALCON 5.0-10.0))
#include "HIOStream.h"
#if !defined(USE_IOSTREAM_H)
using namespace std;
#endif
#include "HalconCpp.h"
using namespace Halcon;
int main (int argc, char *argv[])
{
if (argc != 2)
{
cout << "Usage : " << argv[0] << " 'image' " << endl;
return (-1);
}
HRegion feats, cd2reg;
HImage image (argv[1]),
text1, text2,
mean1, mean2,
histo;
HWindow win;
Hlong nc;
if ((nc = image.CountChannels ()) != 3)
{
cout << argv[1] << " is not a rgb-image " << endl;
return (-2);
}
image.Display (win);
win.SetColor ("green");
cout << "Draw the region of interrest " << endl;
HRegion region = win.DrawRegion ();
text1 = image.TextureLaws ("el", 2, 5);
mean1 = text1.MeanImage (21, 21);
text2 = mean1.TextureLaws ("es", 2, 5);
mean2 = text2.MeanImage (21, 21);
histo = region.Histo2dim (mean1, mean2);
feats = histo.Threshold (1.0, 1000000.0);
win.SetDraw ("fill");
win.SetColor ("red");
feats.Display (win);
cout << "Charakteristics area in red" << endl;
cd2reg = mean1.Class2dimSup (mean2, feats);
win.SetColor ("blue");
cd2reg.Display (win);
cout << "Result of classification in blue " << endl;
win.Click ();
return (0);
}
Beispiel (C)
read_image(&Image,"combine");
open_window(0,0,-1,-1,0,"visible","",&WindowHandle);
disp_image(Image,WindowHandle);
fwrite_string("draw region of interest with the mouse");
fnew_line();
set_color(WindowHandle,"green");
draw_region(&Testreg,draw_region);
/* Texture transformation for 2-dimensional charachteristic */
texture_laws(Image,&T1,"el",2,5);
mean_image(T1,&M1,21,21);
texture_laws(M1,&T2,"es,",2,5);
mean_image(T2,&M2,21,21);
/* 2-dimensinal histogram of the test region */
histo_2dim(Testreg,M1,M2,&Histo);
/* All points occuring at least once */
threshold(Histo,&FeatureSpace,1.0,100000.0);
set_draw(WindowHandle,"fill");
set_color(WindowHandle,"red");
disp_region(FeatureSpace,WindowHandle);
fwrite_string("Characteristics area in red");
fnew_line();
/* Segmentation */
class_2dim_sup(M1,M2,FeatureSpace,&RegionClass2Dim);
set_color(WindowHandle,"blue");
disp_region(RegionClass2Dim,WindowHandle);
fwrite_string("Result of classification in blue");
fnew_line();
Beispiel (C++ (HALCON 5.0-10.0))
#include "HIOStream.h"
#if !defined(USE_IOSTREAM_H)
using namespace std;
#endif
#include "HalconCpp.h"
using namespace Halcon;
int main (int argc, char *argv[])
{
if (argc != 2)
{
cout << "Usage : " << argv[0] << " 'image' " << endl;
return (-1);
}
HRegion feats, cd2reg;
HImage image (argv[1]),
text1, text2,
mean1, mean2,
histo;
HWindow win;
Hlong nc;
if ((nc = image.CountChannels ()) != 3)
{
cout << argv[1] << " is not a rgb-image " << endl;
return (-2);
}
image.Display (win);
win.SetColor ("green");
cout << "Draw the region of interrest " << endl;
HRegion region = win.DrawRegion ();
text1 = image.TextureLaws ("el", 2, 5);
mean1 = text1.MeanImage (21, 21);
text2 = mean1.TextureLaws ("es", 2, 5);
mean2 = text2.MeanImage (21, 21);
histo = region.Histo2dim (mean1, mean2);
feats = histo.Threshold (1.0, 1000000.0);
win.SetDraw ("fill");
win.SetColor ("red");
feats.Display (win);
cout << "Charakteristics area in red" << endl;
cd2reg = mean1.Class2dimSup (mean2, feats);
win.SetColor ("blue");
cd2reg.Display (win);
cout << "Result of classification in blue " << endl;
win.Click ();
return (0);
}
Beispiel (C++ (HALCON 5.0-10.0))
#include "HIOStream.h"
#if !defined(USE_IOSTREAM_H)
using namespace std;
#endif
#include "HalconCpp.h"
using namespace Halcon;
int main (int argc, char *argv[])
{
if (argc != 2)
{
cout << "Usage : " << argv[0] << " 'image' " << endl;
return (-1);
}
HRegion feats, cd2reg;
HImage image (argv[1]),
text1, text2,
mean1, mean2,
histo;
HWindow win;
Hlong nc;
if ((nc = image.CountChannels ()) != 3)
{
cout << argv[1] << " is not a rgb-image " << endl;
return (-2);
}
image.Display (win);
win.SetColor ("green");
cout << "Draw the region of interrest " << endl;
HRegion region = win.DrawRegion ();
text1 = image.TextureLaws ("el", 2, 5);
mean1 = text1.MeanImage (21, 21);
text2 = mean1.TextureLaws ("es", 2, 5);
mean2 = text2.MeanImage (21, 21);
histo = region.Histo2dim (mean1, mean2);
feats = histo.Threshold (1.0, 1000000.0);
win.SetDraw ("fill");
win.SetColor ("red");
feats.Display (win);
cout << "Charakteristics area in red" << endl;
cd2reg = mean1.Class2dimSup (mean2, feats);
win.SetColor ("blue");
cd2reg.Display (win);
cout << "Result of classification in blue " << endl;
win.Click ();
return (0);
}
Beispiel (C++ (HALCON 5.0-10.0))
#include "HIOStream.h"
#if !defined(USE_IOSTREAM_H)
using namespace std;
#endif
#include "HalconCpp.h"
using namespace Halcon;
int main (int argc, char *argv[])
{
if (argc != 2)
{
cout << "Usage : " << argv[0] << " 'image' " << endl;
return (-1);
}
HRegion feats, cd2reg;
HImage image (argv[1]),
text1, text2,
mean1, mean2,
histo;
HWindow win;
Hlong nc;
if ((nc = image.CountChannels ()) != 3)
{
cout << argv[1] << " is not a rgb-image " << endl;
return (-2);
}
image.Display (win);
win.SetColor ("green");
cout << "Draw the region of interrest " << endl;
HRegion region = win.DrawRegion ();
text1 = image.TextureLaws ("el", 2, 5);
mean1 = text1.MeanImage (21, 21);
text2 = mean1.TextureLaws ("es", 2, 5);
mean2 = text2.MeanImage (21, 21);
histo = region.Histo2dim (mean1, mean2);
feats = histo.Threshold (1.0, 1000000.0);
win.SetDraw ("fill");
win.SetColor ("red");
feats.Display (win);
cout << "Charakteristics area in red" << endl;
cd2reg = mean1.Class2dimSup (mean2, feats);
win.SetColor ("blue");
cd2reg.Display (win);
cout << "Result of classification in blue " << endl;
win.Click ();
return (0);
}
Komplexität
Sei A die Fläche der Eingaberegion dann ist die
Laufzeitkomplexität O(256^2 + A).
Ergebnis
class_2dim_supclass_2dim_supClass2dimSupClass2dimSupClass2dimSup liefert den Wert 2 (H_MSG_TRUE). Falls alle Parameter korrekt
sind für das Verhalten bzgl. der Eingabebilder und Ausgaberegionen sind die
Flags 'no_object_result'"no_object_result""no_object_result""no_object_result""no_object_result", 'empty_region_result'"empty_region_result""empty_region_result""empty_region_result""empty_region_result" und
'store_empty_region'"store_empty_region""store_empty_region""store_empty_region""store_empty_region" einstellbar (siehe
set_systemset_systemSetSystemSetSystemSetSystem). Gegebenenfalls wird eine
Fehlerbehandlung durchgeführt.