cvHaarDetectObjects 解析（1）

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");  }