#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 ;

 }