c/c++语言开发共享飞龙绣球的颜色追踪与最小外边框选择

#include <opencv2/opencv.hpp> #include<iostream> #include<string> using namespace cv; using namespace std;     //输入图像 mat img; //灰度值归一化 mat bgr; //hsv图像 mat hsv; //色相 string windowname = "src"; //输出图像的显示窗口 string dstname = "dst"; //输出图像 mat dst; mat mask; //回调函数 mat picture; 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));             if (!img.data || img.channels() != 3)             return -1;             dst = mat::zeros(img.size(), img.type());             bgr = img.clone();        //对输出图像大小的限制 automatic size             //hsv转换             cvtcolor(bgr, hsv, cv_bgr2hsv);             inrange(hsv, scalar(14, 43, 44), scalar(33, 255 , 255), mask);             mat element = getstructuringelement(morph_rect, size(9, 11)); //图像腐蚀             erode(mask, mask, element, point(-1, -1), 2);             morphologyex(mask, mask, morph_dilate, getstructuringelement(morph_dilate, size(25, 25)));//形态学膨胀             dilate(mask, mask, element);//图像膨胀             imshow("66666", mask);             namedwindow(dstname, 0);             namedwindow(windowname, 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(windowname, img);              imshow(dstname, dst);             waitkey(10);         } return 0;     }