查找对象

void getTemplate(void) {
    
    Mat src =frame;
    cvtColor(src,src,COLOR_BGR2GRAY);
    //    namedWindow("input image", CV_WINDOW_AUTOSIZE);
    //    imshow("input image", src);

    Rect roi_rect = Rect(10, 10,src.cols-20, src.rows-20);
    Mat ROI_Image = src(roi_rect);
    imshow("ROI image", ROI_Image);

    Mat ROI_binary;
    threshold(ROI_Image, ROI_binary, 0, 255, THRESH_BINARY | THRESH_OTSU);

    Mat kernel = getStructuringElement(MORPH_RECT, Size(7, 7), Point(-1, -1));
    morphologyEx(ROI_binary, ROI_binary, MORPH_OPEN, kernel);
    //    imshow("ROI_binary image", ROI_binary);

    Mat canny_output;
    Canny(ROI_binary, canny_output, 100, 100 * 2);

    vector<vector<Point>> contours;
    vector<Vec4i> hireachy;
    findContours(canny_output, contours, hireachy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0));

    cvtColor(ROI_Image, ROI_Image, COLOR_GRAY2BGR);

    //获取轮廓最大的宽和高
    double maxh = 0, maxw = 0;
    for (size_t t = 0; t < contours.size(); t++) {
        Rect rect = boundingRect(contours[t]);
        if (rect.height > maxh) maxh = rect.height;
        if (rect.width > maxw)  maxw = rect.width;

    }

    //筛选轮廓    
    int num[14];
    int i = 0;
    for (size_t t = 0; t < contours.size(); t++) {
        Rect rect = boundingRect(contours[t]);
        if (rect.height > maxh*0.7 || rect.width > maxw*0.7)
        {
            rectangle(ROI_Image, rect, Scalar(0, 0, 255), 2);
            num[i++] = t;
        }
    }

    for (int i = 0; i < 14; i++)
        cout << "num:" << num[i] << endl;
    //Rect rect = boundingRect(contours[num[3]]);
    // = ROI_Image(rect);
    //imshow("digital", digital);
    imshow("drawControus", ROI_Image);
}