opencv学习---打开摄像头检测个人头像

cvHaarDetectObjects(CvArr* image,

            CvHaarClassifierCascade *cascade,

            cvMemStorage* storage,

            double scale_factor=1.1,
    
            int min_neighors=0,

            int flags=0,

            CvSize min_size=cvSize(0,0),
        
            CvSize max_size=cvSize(0,0)

                                );                        

 1 #define _CRT_SECURE_NO_WARNINGS
 2 #include<iostream>
 3 #include"cv.h"
 4 #include"highgui.h"
 5 using namespace cv;
 6 using namespace std;
 7 
 8 IplImage* Dectimg(IplImage *getimg);
 9 //要将这两个文件的文件路径写清楚或者把他们复制到本项目文件夹里
10 //检测人眼
11 //static char *cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
12 //检测人脸
13 static char* cascade_name = "haarcascade_frontalface_alt2.xml";
14 
15 CvHaarClassifierCascade *cascade = 0;
16 int main()
17 {
18     //用cvLoad()加载级联分类器文件
19 cascade = (CvHaarClassifierCascade *)cvLoad(cascade_name);
20 
21 //打开摄像头，读入个人录像
22 CvCapture* capture = cvCreateCameraCapture(CV_CAP_ANY);
23 //定义IplImage的指针并且初始化。
24 IplImage * getfile = cvQueryFrame(capture);
25 //命名窗口
26 cvNamedWindow("Result");
27 //循环读入帧
28 while ((getfile = cvQueryFrame(capture)) != NULL)
29 {
30     //每次读入图像帧后进入检测函数
31 IplImage *picture = Dectimg(getfile);
32 
33 cvShowImage("Result", picture);
34 //间隔时间15 us,等待输入按键，如果按键为ESC（这个键的键值为27）就退出。
35 if (cvWaitKey(15) == 27)break;
36 }
37 cvWaitKey();
38 //释放图片指针
39 cvReleaseImage(&getfile);
40 //释放读入视频帧的指针
41 cvReleaseCapture(&capture);
42 //关闭所有窗口
43 cvDestroyAllWindows();
44 return 0;
45 }
46 
47 //检测图片中的目标图像，并且用矩形将目标圈出来
48 IplImage* Dectimg(IplImage *getimg)
49 {
50 //克隆图像
51 IplImage *img = cvCloneImage(getimg);
52 double scale = 1.2;
53 //缩小图像，提高检测速度
54 IplImage *smallimg = cvCreateImage(cvSize(img->width / scale,img->height/scale),img->depth,img->nChannels);
55 cvResize(img, smallimg);
56 //创建单通道图像
57 IplImage *grayimg = cvCreateImage(cvGetSize(smallimg),smallimg->depth,1);
58 //转换成灰度图像
59 cvCvtColor(smallimg,grayimg,CV_RGB2GRAY);
60 //创建缓存
61 CvMemStorage *storage = 0;
62 storage = cvCreateMemStorage(0);
63 //将图像均衡化
64 cvEqualizeHist(grayimg,grayimg);
65 cvClearMemStorage(storage);
66 //检测图像，将会得到目标区域的矩形
67 CvSeq *objects = cvHaarDetectObjects(grayimg,cascade,storage,scale,3,0,cvSize(30,30));
68 if (objects->total > 0)
69 {
70     /*
71 for (int i = 0; i < objects->total; i++)
72 {
73 CvPoint center;
74 int radius;
75 CvRect *rect = (CvRect*)cvGetSeqElem(objects,i);
76 center.x = (rect->x + rect->width / 2)*scale;
77 center.y = (rect->y + rect->height / 2)*scale
78 ;
79 radius = cvRound((rect->width+rect->height)*0.26*scale);
80 cvCircle(getimg, center, radius, cvScalar(14, 45, 73), 4);
81 }
82     */
83 for (int i = 0; i < objects->total; i++)
84 {
85 CvRect *rect = (CvRect*)cvGetSeqElem(objects,i);
86 cvRectangle(getimg,
87         cvPoint(cvRound( rect->x*scale),cvRound( rect->y*scale)),
88         cvPoint(cvRound(1.2*(rect->x+rect->width)),
89         cvRound(1.2*(rect->y+rect->height))),
90         cvScalar(34,87,155),5);
91 }
92 }
93 else 
94 return NULL;//如果没有检测到目标图像就返回空指针
95 return getimg;
96 }