《学习OpenCV》练习题第四章第一题a

 #include <highgui.h>
 #include <cv.h>

 #pragma comment (lib,"opencv_calib3d231d.lib")
 #pragma comment (lib,"opencv_contrib231d.lib")
 #pragma comment (lib,"opencv_core231d.lib")
 #pragma comment (lib,"opencv_features2d231d.lib")
 #pragma comment (lib,"opencv_flann231d.lib")
 #pragma comment (lib,"opencv_gpu231d.lib")
 #pragma comment (lib,"opencv_haartraining_engined.lib")
 #pragma comment (lib,"opencv_highgui231d.lib")
 #pragma comment (lib,"opencv_imgproc231d.lib")
 #pragma comment (lib,"opencv_legacy231d.lib")
 #pragma comment (lib,"opencv_ml231d.lib")
 #pragma comment (lib,"opencv_objdetect231d.lib")
 #pragma comment (lib,"opencv_ts231d.lib")
 #pragma comment (lib,"opencv_video231d.lib")

 /*
  *《学习OpenCV》第四章第一题a部分
  * 完成时间：1:09 3/10 星期日 2013
  */
 int main()
 {
     char * file_path = "H:/TDDOWNLOAD/Video/STAR362.avi";
     CvCapture * capture = ;
     capture = cvCreateFileCapture(file_path);

     // 载入视频文件失败
     if(capture == NULL)
     {
         printf("Can't load the video file, quit...\n");
         return ;
     }

     // 每一帧
     IplImage * frame;
     // 灰度后的每一帧
     IplImage * gray_frame;
     // 边缘检测后的每一帧
     IplImage * canny_frame;

     while()
     {
         // 从视频文件读入数据
         frame = cvQueryFrame(capture);
         if(!frame)
             break;

         // 将读入数据转换为灰度图
         gray_frame = cvCreateImage( cvGetSize(frame), frame->depth, );
         cvCvtColor( frame, gray_frame, CV_RGB2GRAY );

         // 对图像做Canny边缘检测
         canny_frame = cvCreateImage( cvGetSize(frame), frame->depth, );
         cvCanny( gray_frame, canny_frame, , , );

         // 显示图像
         cvShowImage("color", frame);
         cvShowImage("gray", gray_frame);
         cvShowImage("canny", canny_frame);

         char c = cvWaitKey();
         if(c == )
             break;
     }
     cvReleaseCapture(&capture);
     cvDestroyAllWindows();

     return ;
 }

运行结果：