#include #include //#include //#include int main(int argc, char* argv[]) { int height,width,step,channels; //parameters of the image we are working on int posX, posY; //Position objet CvMoments *moments = (CvMoments*)malloc(sizeof(CvMoments)); //Variable moyenne position // Open capture device. 0 is /dev/video0, 1 is /dev/video1, etc. CvCapture* capture = cvCaptureFromCAM( 0 ); if( !capture ){ printf("ERROR: capture is NULL \n" ); return -1; } // grab an image from the capture IplImage* frame = cvQueryFrame( capture ); // Create a window in which the captured images will be presented cvNamedWindow( "Camera", CV_WINDOW_AUTOSIZE ); cvNamedWindow( "HSV", CV_WINDOW_AUTOSIZE ); cvNamedWindow( "Binaire", CV_WINDOW_AUTOSIZE ); //sf::Window window; //window.create(sf::VideoMode(800, 600), "My window",sf::Style::Default); // get the image data height = frame->height; width = frame->width; step = frame->widthStep; // capture size - CvSize size = cvSize(width,height); // Initialize different images that are going to be used in the program IplImage* hsv_frame = cvCreateImage(size, IPL_DEPTH_8U, 3); // image converted to HSV plane IplImage* threshold = cvCreateImage(size, IPL_DEPTH_8U, 1); //Controle couleur cvNamedWindow("Control", CV_WINDOW_AUTOSIZE); //create a window called "Control" //Setup Kirby int iLowH = 139; int iHighH = 179; int iLowS = 48; int iHighS = 255; int iLowV = 101; int iHighV = 255; //Create trackbars in "Control" window cvCreateTrackbar("LowH", "Control", &iLowH, 179); //Hue (0 - 179) cvCreateTrackbar("HighH", "Control", &iHighH, 179); cvCreateTrackbar("LowS", "Control", &iLowS, 255); //Saturation (0 - 255) cvCreateTrackbar("HighS", "Control", &iHighS, 255); cvCreateTrackbar("LowV", "Control", &iLowV, 255); //Value (0 - 255) cvCreateTrackbar("HighV", "Control", &iHighV, 255); while( 1 ) { // Get one frame frame = cvQueryFrame( capture ); if( !frame ){ printf("ERROR: frame is null...\n" ); break; } // Covert color space to HSV as it is much easier to filter colors in the HSV color-space. cvCvtColor(frame, hsv_frame, CV_BGR2HSV); //Blur cvSmooth( hsv_frame, hsv_frame, CV_GAUSSIAN, 15, 15); //suppression des parasites par flou gaussien //Binarisation cvInRangeS(hsv_frame, cvScalar(iLowH, iLowS, iLowV), cvScalar(iHighH, iHighS, iHighV), threshold); //cvSmooth( threshold, threshold, CV_GAUSSIAN, 9, 9 ); //Legère suppression des parasites // Calculate the moments to estimate the position of the ball cvMoments(threshold, moments, 1); // The actual moment values double moment10 = cvGetSpatialMoment(moments, 1, 0); double moment01 = cvGetSpatialMoment(moments, 0, 1); double area = cvGetCentralMoment(moments, 0, 0); posX= moment10/area; posY= moment01/area; //Affichage zone suivie objet cvCircle(frame, cvPoint(width/2,height/2), 100, CV_RGB(255, 0, 0), 4, 8, 0 ); //Affichage position de l'objet cvLine(frame, cvPoint(posX-20,posY), cvPoint(posX+20,posY), CV_RGB(0, 0, 255), 4, 8, 0 ); cvLine(frame, cvPoint(posX,posY-20), cvPoint(posX,posY+20), CV_RGB(0, 0, 255), 4, 8, 0 ); cvShowImage( "Camera", frame ); // Original stream with detected ball overlay cvShowImage( "HSV", hsv_frame); // Original stream in the HSV color space cvShowImage( "Binaire", threshold); // The stream after color filtering if( (cvWaitKey(10) ) >= 0 ) break; //Arret capture } cvWaitKey(0); //Fin programme // Release the capture device housekeeping cvReleaseCapture( &capture ); cvReleaseImage(&threshold); return 0; }