Hstogramme en espace HSV

**nomidia** · 27/04/2010, 15h11

bonjouuur
dans le but de comparer deux images, j'ai voulu calculer leurs histogrammes en espace calorimetrique HSV ensuite passer a comparer ces deux histogrammes pour deduire les differences entre les deux images.

ma question est la suivante:

comment faire pour calculer l'histogramme?, je sais que y a une fonction toute faite pour le faire c'est le: cvCalcHist mais je sais pas comment l'implementer pour calculer l'histogramme en H ,S ,V???

cordialement
nomidia

**dz_robotix** · 27/04/2010, 21h39

l'exemple de base, il y a la conversion et l'histogramme hsv

Code :

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#ifdef _CH_
#pragma package <opencv>
#endif
 
#ifndef _EiC
#include "cv.h"
#include "highgui.h"
#include <stdio.h>
#include <ctype.h>
#endif
 
IplImage *image = 0, *hsv = 0, *hue = 0, *mask = 0, *backproject = 0, *histimg = 0;
CvHistogram *hist = 0;
int backproject_mode = 0;
int select_object = 0;
int track_object = 0;
int show_hist = 1;
CvPoint origin;
CvRect selection;
CvRect track_window;
CvBox2D track_box;
CvConnectedComp track_comp;
int hdims = 200;
float hranges_arr[] = {0,180};
float* hranges = hranges_arr;
int vmin = 10, vmax = 256, smin = 30;
 
void on_mouse( int event, int x, int y, int flags, void* param )
{
    if( !image )
        return;
 
    if( image->origin )
        y = image->height - y;
 
    if( select_object )
    {
        selection.x = MIN(x,origin.x);
        selection.y = MIN(y,origin.y);
        selection.width = selection.x + CV_IABS(x - origin.x);
        selection.height = selection.y + CV_IABS(y - origin.y);
 
        selection.x = MAX( selection.x, 0 );
        selection.y = MAX( selection.y, 0 );
        selection.width = MIN( selection.width, image->width );
        selection.height = MIN( selection.height, image->height );
        selection.width -= selection.x;
        selection.height -= selection.y;
    }
 
    switch( event )
    {
    case CV_EVENT_LBUTTONDOWN:
        origin = cvPoint(x,y);
        selection = cvRect(x,y,0,0);
        select_object = 1;
        break;
    case CV_EVENT_LBUTTONUP:
        select_object = 0;
        if( selection.width > 0 && selection.height > 0 )
            track_object = -1;
        break;
    }
}
 
 
CvScalar hsv2rgb( float hue )
{
    int rgb[3], p, sector;
    static const int sector_data[][3]=
        {{0,2,1}, {1,2,0}, {1,0,2}, {2,0,1}, {2,1,0}, {0,1,2}};
    hue *= 0.033333333333333333333333333333333f;
    sector = cvFloor(hue);
    p = cvRound(255*(hue - sector));
    p ^= sector & 1 ? 255 : 0;
 
    rgb[sector_data[sector][0]] = 255;
    rgb[sector_data[sector][1]] = 0;
    rgb[sector_data[sector][2]] = p;
 
    return cvScalar(rgb[2], rgb[1], rgb[0],0);
}
 
int main(  )
{
    CvCapture* capture = 0;
 
   capture = cvCaptureFromAVI("C:\\mohamed\\M8.avi");//CAM(0);//
 
 
    printf( "Hot keys: \n"
        "\tESC - quit the program\n"
        "\tc - stop the tracking\n"
        "\tb - switch to/from backprojection view\n"
        "\th - show/hide object histogram\n"
        "To initialize tracking, select the object with mouse\n" );
 
    cvNamedWindow( "Histogram", 0);
    cvNamedWindow( "CamShiftDemo", 0 );
	cvNamedWindow("HSV_Space",0);
    cvSetMouseCallback( "CamShiftDemo", on_mouse, 0 );
    cvCreateTrackbar( "Vmin", "CamShiftDemo", &vmin, 256, 0 );
    cvCreateTrackbar( "Vmax", "CamShiftDemo", &vmax, 256, 0 );
    cvCreateTrackbar( "Smin", "CamShiftDemo", &smin, 256, 0 );
 
    for(;;)
    {
        IplImage* frame = 0;
        int i, bin_w, c;
 
        frame = cvQueryFrame( capture );
        if( !frame )
            break;
 
        if( !image )
        {
            /* allocate all the buffers */
            image = cvCreateImage( cvGetSize(frame), 8, 3 );
            image->origin = frame->origin;
            hsv = cvCreateImage( cvGetSize(frame), 8, 3 );
            hue = cvCreateImage( cvGetSize(frame), 8, 1 );
            mask = cvCreateImage( cvGetSize(frame), 8, 1 );
            backproject = cvCreateImage( cvGetSize(frame), 8, 1 );
            hist = cvCreateHist( 1, &hdims, CV_HIST_ARRAY, &hranges, 1 );
            histimg = cvCreateImage( cvSize(320,200), 8, 3 );
            cvZero( histimg );
        }
 
        cvCopy( frame, image, 0 );
        cvCvtColor( image, hsv,CV_BGR2HSV);// CV_RGB2HSV );//CV_BGR2HSV
 
        if( track_object )
        {
            int _vmin = vmin, _vmax = vmax;
 
            cvInRangeS( hsv, cvScalar(0,smin,MIN(_vmin,_vmax),0),
                        cvScalar(180,256,MAX(_vmin,_vmax),0), mask );
            cvSplit( hsv, hue, 0, 0, 0 );
 
            if( track_object < 0 )
            {
                float max_val = 0.f;
                cvSetImageROI( hue, cvRect(10,10,50,50));//cvRect(250,250,50,50));//selection );//cvRect(10,10,10,10)
                cvSetImageROI( mask,cvRect(10,10,50,50));//cvRect(250,250,50,50)); //selection );//cvRect(10,10,10,10)
                cvCalcHist( &hue, hist, 0, mask );
                cvGetMinMaxHistValue( hist, 0, &max_val, 0, 0 );
                cvConvertScale( hist->bins, hist->bins, max_val ? 255. / max_val : 0., 0 );
                cvResetImageROI( hue );
                cvResetImageROI( mask );
                track_window =cvRect(100,100,50,50); //selection;//cvRect(10,10,10,10)
                track_object = 1;
 
                cvZero( histimg );
                bin_w = histimg->width / hdims;
                for( i = 0; i < hdims; i++ )
                {
                    int val = cvRound( cvGetReal1D(hist->bins,i)*histimg->height/255 );
                    CvScalar color = hsv2rgb(i*180.f/hdims);
                    cvRectangle( histimg, cvPoint(i*bin_w,histimg->height),
                                 cvPoint((i+1)*bin_w,histimg->height - val),
                                 color, -1, 8, 0 );
                }
            }
 
            cvCalcBackProject( &hue, backproject, hist );
            cvAnd( backproject, mask, backproject, 0 );
 
 
			 //    Name:    cvCamShift
 //    Purpose:
 //      Implements CAMSHIFT algorithm - determines object position, size and orientation
 //      from the object histogram back project.
 //    Context:
 //    Parameters:
 //      imgProb - back project of the object histogram
 //      windowIn - initial search window
 //      criteria - iterative search termination criteria 
 //      out    - output parameter. Final position of search window and object area
 //      box    - width and height (i.e. length) of the object, its center and orientation
 //    Returns:
 //      Number of iterations made
 
			cvCamShift( backproject, cvRect(10,10,50,50),
                        cvTermCriteria( CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1 ),
                        &track_comp, &track_box );
 
 
 
 
 
			track_window = track_comp.rect;
 
            if( backproject_mode )
                cvCvtColor( backproject, image, CV_GRAY2BGR );
            if( image->origin )
                track_box.angle = -track_box.angle;
            cvEllipseBox( image, track_box, CV_RGB(255,0,0), 3, CV_AA, 0 );
			//cvRectangle( image,cvRect( track_box),CV_RGB(255,0,0), 3, 3 );
        }
 
        if( select_object && selection.width > 0 && selection.height > 0 )
        {
            cvSetImageROI( image, selection );
            cvXorS( image, cvScalarAll(200), image, 0 );
            cvResetImageROI( image );
        }
		cvFlip(hsv,NULL,0);//hsv //hue
	//	cvFlip(
        cvShowImage( "CamShiftDemo", image );
		 cvShowImage("HSV_Space",hsv);//hsv //hue  
        cvShowImage( "Histogram", histimg );
 
        c = cvWaitKey(10);
        if( c == 27 )
            break;
        switch( c )
        {
        case 'b':
            backproject_mode ^= 1;
            break;
        case 'c':
            track_object = 0;
            cvZero( histimg );
            break;
        case 'h':
            show_hist ^= 1;
            if( !show_hist )
                cvDestroyWindow( "Histogram" );
            else
                cvNamedWindow( "Histogram", 1 );
            break;
        default:
            ;
        }
    }
 
    cvReleaseCapture( &capture );
    cvDestroyWindow("CamShiftDemo");
 
    return 0;
}
 
#ifdef _EiC
main(1,"camshiftdemo.c");
#endif

**glen1789** · 28/04/2010, 10h34

Code :

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	IplImage *image = cvLoadImage("winter.jpg",1);
	IplImage *image_hsv = cvCreateImage(cvGetSize(image), image->depth, 3);
	//Replacing the origin if necessary
    int flip = 0;
    if(image->origin!=IPL_ORIGIN_TL)
	{
        flip = CV_CVTIMG_FLIP;
    }
	//creating the image in levels of gray
	cvConvertImage(image, image_hsv,CV_BGR2HSV);
 
	//creating the windows in wich the images will appear
	cvNamedWindow("Original image",CV_WINDOW_AUTOSIZE);
	cvNamedWindow("HSV image",CV_WINDOW_AUTOSIZE);
 
	CvHistogram *hist;
	int h_bins = 30, s_bins = 32, v_bins=30;
	int hist_size[] = {h_bins, s_bins,v_bins};
	float h_ranges[] = { 0, 180 };
	float s_ranges[] = { 0, 255 };
	float v_ranges[] ={0,255};
	float* ranges[] = { h_ranges, s_ranges,v_ranges };
	IplImage* h_plane = cvCreateImage( cvGetSize(image), 8, 1 );
	IplImage* s_plane = cvCreateImage( cvGetSize(image), 8, 1 );
	IplImage* v_plane = cvCreateImage( cvGetSize(image), 8, 1 );
	IplImage* planes[] = { h_plane, s_plane,v_plane};
	hist = cvCreateHist(3,hist_size,CV_HIST_ARRAY,ranges,1);
	cvCvtPixToPlane(image_hsv,h_plane,s_plane,v_plane,0);
	cvCalcHist(planes,hist);
 
	//Show the images
	cvShowImage("Original image", image);
	cvShowImage("HSV image",image_hsv);
 
    //On attend que l'utilisateur appuie sur une touche
    cvWaitKey(0);
 
    cvDestroyWindow("Original image");
	cvDestroyWindow("HSV image");
    cvReleaseImage(&image);
    cvReleaseImage(&image_hsv);
	return 0;

Voila une adaptation du code du manuel Opencv pour le calcul d'un histogramme. J'espere que ca pourra vous aider.

Hstogramme en espace HSV

OpenCV

Vue hybride

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