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我有一个代码，它基本上检测扑克牌，根据 HSV 设置将它们与动态背景隔离，然后使用轮廓检测​​卡片的 4 个点以找到卡片的确切 x 和 y 位置。从那里，ROI 被设置，我可以执行进一步的处理来检测卡片的面值。

但是，我的代码似乎正在破坏，我似乎无法找到它的根本原因。我已清除图像和内存存储，我已确保所有 Iplimage 具有相同的格式和分辨率。

IplImage* GetThresholdedImage(IplImage* imgHSV){ 
    IplImage* imgThresh=cvCreateImage(cvGetSize(imgHSV),IPL_DEPTH_8U, 1);
    cvInRangeS(imgHSV, cvScalar(95,67,170), cvScalar(110,119,254), imgThresh); //Morning
    return imgThresh;
} 

IplImage* RedCheck(IplImage* imgBGR){ 
    IplImage* img=cvCreateImage(cvGetSize(imgBGR),IPL_DEPTH_8U, 1);
    cvInRangeS(imgBGR, cvScalar(0,0,100), cvScalar(100,100,254), img); //BGR
    return img;
} 

int main()
{
    CvCapture* capture =0;
    capture = cvCaptureFromCAM(0);
    if(!capture)
    {
        printf("Capture failure\n");
        return -1;
    }

    IplImage* frame = cvCreateImage(cvSize(48,64),IPL_DEPTH_8U,3);

    while(true)
    {
        frame = cvQueryFrame(capture); 
        if(!frame) break;

        frame=cvCloneImage(frame); 
        cvSmooth(frame, frame, CV_GAUSSIAN,3,3); //smooth the original image using Gaussian kernel
        IplImage* imgHSV = cvCreateImage(cvGetSize(frame), IPL_DEPTH_8U, 3); 
        cvCvtColor(frame, imgHSV, CV_BGR2HSV); //Change the color format from BGR to HSV
        IplImage* imgThresh = GetThresholdedImage(imgHSV);

        cvSmooth(imgThresh, imgThresh, CV_GAUSSIAN,3,3); //smooth the binary image using Gaussian kernel

        CvSeq* contours;
        CvSeq* result;
        CvMemStorage *storage = cvCreateMemStorage(0);
        cvFindContours(imgThresh, storage, &contours, sizeof(CvContour), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0)); 
        while(contours)
        {

            result = cvApproxPoly(contours, sizeof(CvContour),storage,CV_POLY_APPROX_DP,cvContourPerimeter(contours)*0.02,0);
            if(result->total == 4)
            {
                CvPoint *pt[4];
                for(int i=0;i<4;i++)
                {
                    pt[i] = (CvPoint*)cvGetSeqElem(result,i);
                }
                if (cvArcLength(result,CV_WHOLE_SEQ,1) >= 400)
                {
                    cvLine(imgThresh,*pt[0],*pt[1],cvScalar(255,0,0),4);
                    cvLine(imgThresh,*pt[1],*pt[2],cvScalar(255,0,0),4);
                    cvLine(imgThresh,*pt[2],*pt[3],cvScalar(255,0,0),4);
                    cvLine(imgThresh,*pt[3],*pt[0],cvScalar(255,0,0),4);



                    int ROIwidth = abs((*pt[0]).x - (*pt[1]).x);
                    int ROIheight = abs((*pt[1]).y - (*pt[2]).y);


                    cvSetImageROI(frame,cvRect((*pt[1]).x,(*pt[1]).y,ROIwidth,ROIheight));
                    IplImage* temp = cvCreateImage(cvGetSize(frame),IPL_DEPTH_8U,3);
                    cvCopy(frame,temp,0);
                    cvResetImageROI(frame);
                    cvNamedWindow( "ROI", CV_WINDOW_AUTOSIZE );
                    cvShowImage( "ROI", temp);
                    printf("Width = %d\n",ROIwidth); //255-275
                    printf("Height = %d\n",ROIheight); //140-160
                    //Card Value Detection Starts Here


                    IplImage* colorcheck = RedCheck(temp);

                    int redpixelcheck = cvCountNonZero(colorcheck);
                    if (redpixelcheck <= 15)
                    {
                        printf("Card is Black\n");


                    }
                    else if (redpixelcheck >= 16)
                    {
                        printf("Card is Red\n");
                    }


                    //Card Value Detection Ends Here

                    cvReleaseImage(&temp);
                    cvReleaseImage(&frame);
                    cvReleaseImage(&colorcheck);


                    delete &ROIwidth;
                    delete &ROIheight;
                    delete &redpixelcheck;

                }
                //delete [] pt[4];
            }
            delete &result;
            contours = contours->h_next;
            //cvPutText (frame_t,text,cvPoint(200,400), &font, cvScalar(255,255,0));
        }

        cvNamedWindow( "Contour", CV_WINDOW_AUTOSIZE );
        cvShowImage( "Contour", imgThresh);
        cvNamedWindow("Video",CV_WINDOW_AUTOSIZE);
        cvShowImage("Video", frame);

        //Clean up used images

        cvReleaseImage(&imgHSV);
        cvReleaseImage(&imgThresh); 
        cvReleaseImage(&frame);

        cvClearMemStorage(storage);
        cvReleaseMemStorage(&storage);

        //Wait 50mS
        int c = cvWaitKey(10);
        //If 'ESC' is pressed, break the loop
        if((char)c==27 ) break; 
    }
        cvDestroyAllWindows() ;
        cvReleaseCapture(&capture);
        return 0;
    }

反汇编总是指向同一个地址 770915DE add esp,4

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