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opencv如何识别图片上带颜色的圆

2019-10-21 18:06 1831 查看

本文实例为大家分享了opencv识别图片上带颜色的圆的具体代码,供大家参考,具体内容如下

识别带颜色的圆,首先需要先查询该颜色的HSV值,下图部分紫色归为红色了:

比如红色:

//红色的HSV值
int low_H = 0,low_S = 123,low_V = 100;
int High_H = 5,High_S = 255,High_V = 255;

然后将图片从BGR转化成HSV,接着二值化:

cvtColor(image,src,COLOR_BGR2HSV); //从BGR-> HSV
inRange(src,Scalar(low_H,low_S,low_V),Scalar(High_H,High_S,High_V),src); //二值化

如果有噪声可以去噪(这一步可以没有):

GaussianBlur(src,src,Size(5,3 ),2,2);

接着用HoughCircles来找圆,后面的参数可以根据需要自己设置:

HoughCircles(src,circles,CV_HOUGH_GRADIENT,1,50,15,7,10,30);
//找圆,最后两个参数是圆半径范围,20是最小圆半径,30是最大圆半径

HoughCircles介绍:

HoughCircles(image,method,dp,minDist [,circles [,param1 [,param2 [,minRadius [,maxRadius]]]]]) 

完整代码:

#include <iostream>
#include <vector>
#include <limits>
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <string>
#include <math.h>
#include <iomanip>
#include <cstdio>

#pragma comment (lib, "opencv_core2413d.lib")
#pragma comment (lib, "opencv_highgui2413d.lib")
#pragma comment (lib, "opencv_imgproc2413d.lib")
#pragma comment (lib, "opencv_video2413d.lib")
#pragma comment (lib, "opencv_features2d2413d.lib")

using namespace std;
using namespace cv;

void drawCircle(Mat &input, const vector<Vec3f> &circles);

int main(){

Mat image, src;//加载进来的图片

vector<Vec3f> circles;//识别出来的圆,每一行是一个圆,第一列是圆心的x坐标,第二列是圆心的y坐标,第三列是圆的半径
image = imread("D:/code/map3.png");
Mat result = imread("D:/code/map3.png");//结果图

//红色的HSV值
int low_H = 0,low_S = 123,low_V = 100;
int High_H = 5,High_S = 255,High_V = 255;

cvtColor(image, src, COLOR_BGR2HSV);//从BGR->HSV
inRange(src, Scalar(low_H, low_S, low_V), Scalar(High_H, High_S, High_V), src);//二值化

//Reduce the noise so we avoid false circle detection
GaussianBlur(src, src, Size(5, 3), 2, 2);

HoughCircles(src, circles, CV_HOUGH_GRADIENT, 1, 50, 15, 7,10,30);//找圆,最后两个参数是圆半径范围,20是最小圆半径,30是最大圆半径

drawCircle(result, circles);//画圆

namedWindow("Display window1", WINDOW_NORMAL);//展示结果
namedWindow("Display window2", WINDOW_NORMAL);
resizeWindow("Display window1", 1240, 680);
resizeWindow("Display window2", 1240, 680);
imshow("Display window1", image);
imshow("Display window2", result);
waitKey(0);

return 0;
}

void drawCircle(Mat &input, const vector<Vec3f> &circles){
for (int i = 0; i<circles.size(); i++){
Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));
int radius = cvRound(circles[i][2]);
circle(input, center, radius, Scalar(255, 0, 0), 3, 8, 0);
}
}

以上就是本文的全部内容,希望对大家的学习有所帮助

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标签:  opencv 识别图片