OpenCV处理视频的程序有点有关问题.

#include "opencv\cv.h"
#include "opencv\highgui.h"

//Canny边缘检测算法
IplImage* doCanny(
    IplImage* in,
    int lowThresh,
    int highThresh,
    int aperture
    ){
        if(in->nChannels != 1)return 0;
        IplImage* out = cvCreateImage(
            cvGetSize(in),
            IPL_DEPTH_8U,
            1);
        cvCanny(in,out,lowThresh,highThresh,aperture);
        return out;
}

int main(){
    CvCapture* capture = cvCreateFileCapture("test.avi");
    //把三个画面在一个窗口里面显示
    cvNamedWindow("window_all");
    cvNamedWindow("window");
    cvNamedWindow("window_gray");
    cvNamedWindow("window_Canny");

    //视频的每一帧
    IplImage* frame = NULL;
    frame = cvQueryFrame(capture);
    //视频帧图像的宽度和高度
    int width = (int)cvGetCaptureProperty(capture,CV_CAP_PROP_FRAME_WIDTH);
    int height = (int)cvGetCaptureProperty(capture,CV_CAP_PROP_FRAME_HEIGHT);
    //定义两种，是为了使三种图像的通道数一样，便于一起显示
    //单通道灰度图像
    IplImage* gray = cvCreateImage(
        cvSize(width, height),
        IPL_DEPTH_8U,
        1);
    //3通道灰度图像
    IplImage* frame_gray = cvCreateImage(
        cvSize(width, height),
        IPL_DEPTH_8U,
        3);
    //单通道Canny边缘检测图像
    IplImage* Canny = cvCreateImage(
        cvSize(width, height),
        IPL_DEPTH_8U,
        1);
    //3通道Canny边缘检测图像
    IplImage* frame_Canny = cvCreateImage(
        cvSize(width, height),
        IPL_DEPTH_8U,
        3);
    //把3张图像放在一起显示
    IplImage* frame_all = cvCreateImage(
        cvSize(width * 3,height),
        IPL_DEPTH_8U,
        3);
    cvZero(frame_all);
    //定义三个图像头
    IplImage* img1 = cvCreateImageHeader(cvSize(width, height),frame ->depth,3);
    IplImage* img2 = cvCreateImageHeader(cvSize(width, height),frame ->depth,3);
    IplImage* img3 = cvCreateImageHeader(cvSize(width, height),frame ->depth,3);
    img1 ->origin = frame ->origin;
    img1 ->widthStep = frame ->widthStep;
    img1->depth = frame->depth;
    img1 ->nChannels = 3;
    img2 ->origin = frame ->origin;
    img2 ->widthStep = frame ->widthStep;
    img2->depth = frame->depth;
    img2 ->nChannels = 3;
    img3 ->origin = frame ->origin;
    img3 ->widthStep = frame ->widthStep;
    img3->depth = frame->depth;
    img3 ->nChannels = 3;

    while(1){
        frame = cvQueryFrame(capture);
        if(!frame){
            return 1;
        }
        //将彩色图像转化为灰色图像
        cvCvtColor(frame,gray,CV_RGB2GRAY);
        cvCvtColor(gray,frame_gray,CV_GRAY2BGR);
        Canny = doCanny(gray,10,100,3);
        cvCvtColor(Canny,frame_Canny,CV_GRAY2BGR);

        img1 ->imageData = frame_all ->imageData;
        cvCopy(frame,img1);
        
        img2 ->imageData = frame_all ->imageData + frame ->widthStep;
        
        cvCopy(frame_gray,img2);
        cvShowImage("window",img1);
        cvShowImage("window_gray",img2);
        img3 ->imageData = frame_all ->imageData + 2 * frame ->widthStep;
        cvCopy(frame_Canny,img3);
        cvShowImage("window_Canny",img3);

        cvShowImage("window_all",frame_all);
        
        
        
        
        if(cvWaitKey(33) == 27){//每秒显示30帧
            break;
        }
    }
    cvReleaseImage(&frame);
    cvReleaseImage(&gray);
    cvReleaseImage(&frame_gray);
    cvReleaseImage(&Canny);
    cvReleaseImage(&frame_Canny);
    cvReleaseImage(&img1);
    cvReleaseImage(&img2);
    cvReleaseImage(&img3);
    cvReleaseCapture(&capture);
    cvDestroyWindow("window_all");
    cvDestroyWindow("window");
    cvDestroyWindow("window_gray");
    cvDestroyWindow("window_Canny");
}