飞龙绣球2.0

　　简化了识别的过程，但是基本的原理没有改变，加入了轨迹条，更加方便的调节参数

Mat img;
//灰度值归一化
Mat bgr;
//HSV图像
Mat hsv;
//输出图像
Mat mask;
Mat picture;


int Hm = 0, Sm = 43, Vm = 46;
int Hx = 10, Sx = 255, Vx = 255;
void CALL_BACK(int,void*)
{
    inRange(hsv, Scalar(Hm, Sm, Vm), Scalar(Hx, Sx,Vx), mask);
    imshow("颜色筛选", mask);
}

int main(int argc, char** argv)
{
    system("color 02");
    cout << "寻找黄色飞龙绣球得到最小外边框" << endl;
    VideoCapture capture(0);
    while (1)
    {
        //帧转变为图像
        capture >> picture;//imread("D:\\4.jpg");
         //方框滤波处理
        boxFilter(picture, img, -1, Size(5, 2));
        bgr = img.clone();        //对输出图像大小的限制 Automatic size
        cvtColor(bgr, hsv, CV_BGR2HSV);

        createTrackbar("Hmin","颜色筛选",&Hm,255, CALL_BACK);
        createTrackbar("Smin", "颜色筛选", &Sm, 255, CALL_BACK);
        createTrackbar("Vmin", "颜色筛选", &Vm, 255, CALL_BACK);
        createTrackbar("Hx", "颜色筛选", &Hx, 255, CALL_BACK);
        createTrackbar("Sx", "颜色筛选", &Sx, 255, CALL_BACK);
        createTrackbar("Vx", "颜色筛选", &Vx, 255, CALL_BACK);
        CALL_BACK(0, 0);

　　　　　　Mat element = getStructuringElement(MORPH_RECT, Size(9, 9)); //图像膨胀
　　　　　　dilate(mask, mask, element, Point(-1, -1), 2);

        
        namedWindow("DEALED", 0);

        vector<vector<Point> > contours;
        vector<Vec4i> hierarchy;
        findContours(mask, contours, hierarchy, RETR_CCOMP, CHAIN_APPROX_SIMPLE);
        RotatedRect box;
        double area = 0;
        for (int i = 0; i < contours.size(); i++)
        {
            if (contourArea(contours[i]) > area)
            {
                area = contourArea(contours[i]);
                box = minAreaRect(contours[i]);
            }
        }
        Point2f vertex[4];
        box.points(vertex);
        for (int i = 0; i < 4; i++)
        {
           line(img, vertex[i], vertex[(i + 1) % 4], Scalar(100, 200, 300), 2,LINE_AA);
        }
        imshow("DEALED", img);
        waitKey(10);
    }
    return 0;
}

　　后续会继续的更新的