opencv检测物体颜色

#include<opencv2/opencv.hpp>
#include<opencv2/opencv_modules.hpp>
#include<iostream>
#include<math.h>

using namespace cv;
using namespace std;
Mat src, dst, binout, src_gray;
int Threshold = 140;

void jdge_color(vector<int> colovec);

int main() {

    //输入图像并转化为灰度
    src = imread("E://2.png");
    if (src.empty()) {
        printf("src  couldn't be loaded...");
        return -1;
    }
    imshow("input", src);

    cvtColor(src, src_gray, COLOR_BGR2GRAY);
    medianBlur(src_gray, src_gray, 21);
    blur(src_gray, src_gray, Size(21, 21));

    //设置阈值后执行CallBack（）
    namedWindow("output");

    //createTrackbar("Threshold", "output", &Threshold, 255, CallBack);
        //二值化
    threshold(src_gray, binout, Threshold, 255, THRESH_BINARY);
    //Canny(src_gray, binout, Threshold, Threshold * 2);
    imshow("binary", binout);
    //寻找边缘
    vector<vector<Point>> contours;
    vector<Vec4i> hierachy;
    findContours(binout, contours, hierachy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0));

    //得到矩形框相关参数
    vector<vector<Point>> polies(contours.size());//减少后的多边形边缘上的点
    vector<Rect> rects(contours.size());//矩形框

    for (size_t i = 0; i < contours.size(); i++) {
        approxPolyDP(Mat(contours[i]), polies[i], 3, true);//减少多边形边缘点
        rects[i] = boundingRect(polies[i]);
    }

    //绘制他们
    Point2f pts[4];
    for (size_t i = 0; i < contours.size(); i++) {
        Mat matHsv;
        Mat imgThresholded;
        Scalar scalar;
        Mat cut = src(rects[i]);

        cvtColor(cut, matHsv, COLOR_BGR2HSV);
        imshow("hsv.jpg", matHsv);
        scalar = cut.at<Vec3b>(cut.rows/2, cut.cols/2);
        int a = (int)scalar.val[1];
        rectangle(src, rects[i], Scalar(0,0,0), 2);//画矩形框
        //mage_rect.push_back(src(rects[i]));
    }
    imshow("output", src);

    waitKey(0);
    return 0;
}

注明：有部分代码来源于网络，如果是你写的，请留言让我注明一下原作者！