首先编译一个函数:
void haar_dect_draw (IplImage* img) { IplImage *gray, *small_img; int i, j; gray = cvCreateImage( cvSize(img->width,img->height), 8, 1 ); small_img = cvCreateImage( cvSize( cvRound (img->width/1), cvRound (img->height/1)), 8, 1 ); //gray=img; cvCvtColor( img, gray, CV_BGR2GRAY );//灰度化 cvResize( gray, small_img, CV_INTER_LINEAR );//大小重置 cvEqualizeHist( small_img, small_img );//直方图均衡化 cvNamedWindow( "Example1", CV_WINDOW_AUTOSIZE ); CvMemStorage* storage1=0; storage1=cvCreateMemStorage(0); CvHaarClassifierCascade *cascade_f=0; const char *cascade_name1="data.xml";//制定XML路径及名称 cascade_f=(CvHaarClassifierCascade*)cvLoad(cascade_name1,0,0,0);//读取XML文件 assert(cascade_f!=NULL); CvSeq *faces=cvHaarDetectObjects(small_img,cascade_f,storage1,1.1,2,0,cvSize(24,24));//HaarDetect for(int ii=0;ii<(faces?faces->total:0);ii++)//判断几个目标区域,画几个框框 { CvRect *face = (CvRect*)cvGetSeqElem(faces, ii); cvRectangle(img,cvPoint(face->x, face->y),cvPoint(face->x + face->width,face->y + face->height) ,CV_RGB(255, 0, 0),1, 8, 0);//画框框 } cvShowImage( "Example1", img );//显示图像 cvReleaseImage(&img); cvReleaseImage(&gray); cvReleaseImage( &small_img); // cvDestroyWindow("Example1"); }