cvHaarDetectObjects 解析（1）

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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");}

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