《学习OpenCV》练习题第四章第一题a

 1 #include <highgui.h>
 2 #include <cv.h>
 3 
 4 #pragma comment (lib,"opencv_calib3d231d.lib")
 5 #pragma comment (lib,"opencv_contrib231d.lib")
 6 #pragma comment (lib,"opencv_core231d.lib")
 7 #pragma comment (lib,"opencv_features2d231d.lib")
 8 #pragma comment (lib,"opencv_flann231d.lib")
 9 #pragma comment (lib,"opencv_gpu231d.lib")
10 #pragma comment (lib,"opencv_haartraining_engined.lib")
11 #pragma comment (lib,"opencv_highgui231d.lib")
12 #pragma comment (lib,"opencv_imgproc231d.lib")
13 #pragma comment (lib,"opencv_legacy231d.lib")
14 #pragma comment (lib,"opencv_ml231d.lib")
15 #pragma comment (lib,"opencv_objdetect231d.lib")
16 #pragma comment (lib,"opencv_ts231d.lib")
17 #pragma comment (lib,"opencv_video231d.lib")
18 
19 /*
20  *《学习OpenCV》第四章第一题a部分
21  * 完成时间：1:09 3/10 星期日 2013
22  */
23 int main()
24 {
25     char * file_path = "H:/TDDOWNLOAD/Video/STAR362.avi";
26     CvCapture * capture = 0;
27     capture = cvCreateFileCapture(file_path);
28 
29     // 载入视频文件失败
30     if(capture == NULL)
31     {
32         printf("Can't load the video file, quit...
");
33         return 0;
34     }
35     
36     // 每一帧
37     IplImage * frame;
38     // 灰度后的每一帧
39     IplImage * gray_frame;
40     // 边缘检测后的每一帧
41     IplImage * canny_frame;
42 
43     while(1)
44     {
45         // 从视频文件读入数据
46         frame = cvQueryFrame(capture);
47         if(!frame)
48             break;
49 
50         // 将读入数据转换为灰度图
51         gray_frame = cvCreateImage( cvGetSize(frame), frame->depth, 1);
52         cvCvtColor( frame, gray_frame, CV_RGB2GRAY );
53         
54         // 对图像做Canny边缘检测
55         canny_frame = cvCreateImage( cvGetSize(frame), frame->depth, 1);
56         cvCanny( gray_frame, canny_frame, 30, 100, 3);
57 
58         // 显示图像
59         cvShowImage("color", frame);
60         cvShowImage("gray", gray_frame);
61         cvShowImage("canny", canny_frame);
62     
63         char c = cvWaitKey(4);
64         if(c == 27)
65             break;
66     }
67     cvReleaseCapture(&capture);
68     cvDestroyAllWindows();
69 
70     return 0;
71 }
运行结果：