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UID:97557
注册时间2010-05-18最后登录2011-04-29在线时间2小时
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本帖被 XChinux 从 Qt基础编程 移动到本区(2011-04-22)
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请教一下高手,我这个代码在vs2008环境下可以顺利运行,但是到了Qt4.7环境下却一直错误 退出。编译没有问题 ,但是却总是以错误代码-1073741819退出。不知道有没有高手可以指点我应该怎么改,谢谢啦,目前毕设阶段,很关键啊。。。 #include <highgui.h>#include <cv.h>#include <math.h>#include <stdio.h>#include <stdlib.h>int main(int argc, char **argv){    //新建窗口    cvNamedWindow("origin", CV_WINDOW_AUTOSIZE);    cvNamedWindow("processing", CV_WINDOW_AUTOSIZE);    double alpha = 0.05;    //背景建模alpha值    double std_init = 20;    //初始标准差    double var_init = std_init * std_init;    //初始方差        double lamda = 2.5 * 1.2;    //背景更新参数    //视频文件    CvCapture *capture = NULL;    //读取视频文件    if (argc == 1)    {        //从摄像头读入        capture = cvCreateCameraCapture(0);    }    else if (argc == 2)    {        //从文件读入        capture = cvCreateFileCapture(argv[1]);    }    else    {        //读入错误        printf("input error\n");        return -1;    }    IplImage *frame = NULL;        //原始图像    IplImage *frame_u = NULL;    //期望图像    IplImage *frame_var = NULL;    //方差图像    IplImage *frame_std = NULL;    //标准差    CvScalar pixel = {0};        //像素原始值    CvScalar pixel_u = {0};        //像素期望    CvScalar pixel_var = {0};    //像素方差    CvScalar pixel_std = {0};    //像素标准差    //初始化frame_u, frame_var, frame_std    frame = cvQueryFrame(capture);    frame_u = cvCreateImage(cvSize(frame->width, frame->height), IPL_DEPTH_8U, 3);    frame_var = cvCreateImage(cvSize(frame->width, frame->height), IPL_DEPTH_8U, 3);    frame_std = cvCreateImage(cvSize(frame->width, frame->height), IPL_DEPTH_8U, 3);    for (int y = 0; y < frame->height; ++y)    {        for (int x = 0; x < frame->width; ++x)        {            pixel = cvGet2D(frame, y, x);            pixel_u.val[0] = pixel.val[0];            pixel_u.val[1] = pixel.val[1];            pixel_u.val[2] = pixel.val[2];            pixel_std.val[0] = std_init;            pixel_std.val[1] = std_init;            pixel_std.val[2] = std_init;            pixel_var.val[0] = var_init;            pixel_var.val[1] = var_init;            pixel_var.val[2] = var_init;            cvSet2D(frame_u, y, x, pixel_u);            cvSet2D(frame_var, y, x, pixel_var);            cvSet2D(frame_std, y, x, pixel_std);        }    }    while (cvWaitKey(33) != 27)        //按ESC键退出, 帧率33ms    {        frame = cvQueryFrame(capture);        //视频结束退出        if (!frame)        {            break;        }        //单高斯背景更新        for (int y = 0; y < frame->height; ++y)        {            for (int x = 0; x < frame->width; ++x)            {                pixel = cvGet2D(frame, y, x);                pixel_u = cvGet2D(frame_u, y, x);                pixel_std = cvGet2D(frame_std, y, x);                pixel_var = cvGet2D(frame_var, y, x);                //|I-u| < lamda*std 时认为是背景, 进行更新                if (fabs(pixel.val[0] - pixel_u.val[0]) < lamda * pixel_std.val[0] &&                    fabs(pixel.val[1] - pixel_u.val[1]) < lamda * pixel_std.val[1] &&                    fabs(pixel.val[2] - pixel_u.val[2]) < lamda * pixel_std.val[2])                {                    //更新期望 u = (1-alpha)*u + alpha*I                    pixel_u.val[0] = (1 - alpha) * pixel_u.val[0] + alpha * pixel.val[0];                    pixel_u.val[1] = (1 - alpha) * pixel_u.val[1] + alpha * pixel.val[1];                    pixel_u.val[2] = (1 - alpha) * pixel_u.val[2] + alpha * pixel.val[2];                    //更新方差 var = (1-alpha)*var + alpha*(I-u)^2                    pixel_var.val[0] = (1 - alpha) * pixel_var.val[0] +                                    (pixel.val[0] - pixel_u.val[0]) * (pixel.val[0] - pixel_u.val[0]);                    pixel_var.val[1] = (1 - alpha) * pixel_var.val[1] +                                    (pixel.val[1] - pixel_u.val[1]) * (pixel.val[1] - pixel_u.val[1]);                    pixel_var.val[2] = (1 - alpha) * pixel_var.val[2] +                                    (pixel.val[2] - pixel_u.val[2]) * (pixel.val[2] - pixel_u.val[2]);                    //更新标准差                    pixel_std.val[0] = sqrt(pixel_var.val[0]);                    pixel_std.val[1] = sqrt(pixel_var.val[1]);                    pixel_std.val[2] = sqrt(pixel_var.val[2]);                    //写入矩阵                    cvSet2D(frame_u, y, x, pixel_u);                    cvSet2D(frame_var, y, x, pixel_var);                    cvSet2D(frame_std, y, x, pixel_std);                }            }        }        //显示结果        cvShowImage("origin", frame);        cvShowImage("processing", frame_u);    }    //释放内存    cvReleaseCapture(&capture);    cvReleaseImage(&frame);    cvReleaseImage(&frame_u);    cvReleaseImage(&frame_var);    cvReleaseImage(&frame_std);    cvDestroyWindow("origin");    cvDestroyWindow("processing");    return 0;}
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