多幅图像检测连续两张含有相同缺陷位置图像

将图像的轮廓保存在vector中用来和后面的图像轮廓位置作比较。

代码块

void CImage_defectDlg::ShowPic(vector img)
{
vectorboundRect2; //记录上次画框位置
for (vector::size_type ix = 0; ix != img.size(); ++ix)
{
if (0 == ix % 2)
continue;

    CString ErrorName1;    //目标图片1
    CString ErrorName2;    //目标图片2
    CString ErrorNum;    //重复缺陷次数
    const int ErrorValue = 5;    //误差值
    int flag = 0;    //int型重复缺陷次数
    bool flag2 = NULL;    //单一窗口显示标志位

    Mat srcImage = img[ix].clone();

    Mat CannyImg;
    Mat grayImage;
    cvtColor(srcImage, grayImage, CV_BGR2GRAY);

    //滤波
    GaussianBlur(grayImage, grayImage, Size(3, 3), 0, 0);
    Canny(grayImage, CannyImg, 128, 255, 3);
    vector<vector<Point>> contours;  //用于保存所有轮廓信息
    vector<Vec4i> hierarchy;

    //轮廓提取
    findContours(CannyImg, contours, hierarchy, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE, Point(0, 0));   

    vector<vector<Point>> contours_poly(contours.size());//近似后的轮廓点集g_vContours.size()是g_vContours中有多少数据
    vector<Rect>boundRect(contours.size());

    for (unsigned int i = 0; i < contours.size(); i++)
    {
        approxPolyDP(Mat(contours[i]), contours_poly[i], 3, true); //用指定精度逼近多边形曲线
        boundRect[i] = boundingRect(Mat(contours_poly[i]));    //计算点集的最外面(up-right)矩形边界
    }


    //画轮廓(思考是不是需要在检测板块显示检测成功的两幅图片)
    Mat result = Mat::zeros(srcImage.size(), CV_8UC3);
    for (unsigned int i = 0; i < contours.size(); i++)
    {
        drawContours(result, contours_poly, i, Scalar(0, 0, 255), 1, 8, hierarchy, 0, Point());
        rectangle(result, boundRect[i].tl(), boundRect[i].br(), Scalar(255, 0, 0), 1, 8, 0);    
    }


    //检测并显示
    if (ix != 0)
    {
        Mat Temporary_pictures = result.clone();
        for (unsigned int i = 0; i < boundRect.size(); i++)
        {
            for (unsigned int j = 0; j < boundRect2.size(); j++)
            {
                if (abs(boundRect[i].tl().x - boundRect2[j].tl().x <= ErrorValue) 
                    && abs(boundRect[i].tl().y - boundRect2[j].tl().y) <= ErrorValue
                    && abs(boundRect[i].br().x - boundRect2[j].br().x) <= ErrorValue 
                    && abs(boundRect[i].br().y - boundRect2[j].br().y) <= ErrorValue)
                {
                    rectangle(Temporary_pictures, boundRect[i].tl(), boundRect[i].br(), Scalar(0, 255, 0), 1, 8, 0);
                    rectangle(RemImg, boundRect[i].tl(), boundRect[i].br(), Scalar(0, 255, 0), 1, 8, 0);


                    flag++;
                    ErrorNum.Format(_T("%d"), flag);
                    ErrorName1.Format(_T("%d"), ix + 1);
                    ErrorName2.Format(_T("%d"), ix);
                    MessageBox(_T("第") + ErrorNum + _T("次缺陷位置相同的图片为第") + ErrorName2 + _T("图与第") + ErrorName1 + _T("图"), NULL, MB_ICONINFORMATION);
                    Defect_display(Temporary_pictures, RemImg);
                    flag2 = true;
                    break;
                }
            }
        }
    }

    if (!flag2)
    {
        namedWindow("result");
        imshow("result", result);
        waitKey(100);   
        destroyWindow("result");
    }


    RemImg = result.clone();
    boundRect2.assign(boundRect.begin(), boundRect.end());
}

}

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