《学习OpenCV》练习题第四章第一题b&c

 #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b部分
  * 完成时间：19:24 3/10 星期日 2013
  */

 int main()
 {
     char * file_path = "H:/TDDOWNLOAD/Video/1111.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 = cvQueryFrame(capture);;
     // 灰度后的每一帧
     IplImage * gray_frame = cvCreateImage( cvGetSize(frame), frame->depth, );
     IplImage * gray_frame_3 = cvCreateImage(cvGetSize(frame), frame->depth, );
     // 边缘检测后的每一帧
     IplImage * canny_frame = cvCreateImage( cvGetSize(frame), frame->depth, );
     IplImage * canny_frame_3 = cvCreateImage(cvGetSize(frame), frame->depth, );
     // 聚合来的每一帧
     IplImage * total_frame = cvCreateImage( cvSize(frame->width * , frame->height),
         frame->depth, frame->nChannels);

     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
         cvCvtColor( frame, gray_frame, CV_RGB2GRAY );
         cvCvtColor( gray_frame, gray_frame_3, CV_GRAY2BGR );

         // 对图像做Canny边缘检测
         cvCanny( gray_frame, canny_frame, , , );
         cvCvtColor( canny_frame, canny_frame_3, CV_GRAY2BGR );

         // 将三幅图像分别复制到新的图像中
         cvSetImageROI( total_frame, cvRect(, , frame->width, frame->height));
         cvCopy( frame, total_frame, );
         cvResetImageROI(total_frame);

         cvSetImageROI( total_frame, cvRect(frame->width, , gray_frame->width, gray_frame->height));
         cvCopy( gray_frame_3, total_frame, );
         cvResetImageROI(total_frame);

         cvSetImageROI( total_frame, cvRect(frame->width*, , canny_frame->width, canny_frame->height));
         cvCopy( canny_frame_3, total_frame, );
         cvResetImageROI(total_frame);

         // 在图像的三个不同的部分写上合适的文字标签
         CvFont textFont = cvFont( , );
         cvInitFont( &textFont, CV_FONT_HERSHEY_SIMPLEX, 0.5f, 0.5f, ,  );

         cvPutText( total_frame, "Frame", cvPoint( ,  ), &textFont, cvScalar( , ,  ) );
         cvPutText( total_frame, "Frame_Gray", cvPoint( frame->width + ,  ), &textFont, cvScalar( , ,  ) );
         cvPutText( total_frame, "Frame_Canny", cvPoint( frame->width *  + ,  ), &textFont, cvScalar( , ,  ) );

         // 显示图像
         cvShowImage("total", total_frame);

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

     return ;
 }

运行结果：