<span style="font-family:Microsoft YaHei;font-size:14px;">#include <cmath>
#include <opencv2/opencv.hpp>
using namespace cv;
using namespace std;
const int kvalue = 15;//双边滤波邻域大小
int main()
{
Mat src_color = imread("1.png");//读取原彩色图
imshow("原图-彩色", src_color);
//声明一个三通道图像,像素值全为0,用来将霍夫变换检测出的圆画在上面
Mat dst(src_color.size(), src_color.type());
dst = Scalar::all(0);
Mat src_gray;//彩色图像转化成灰度图
cvtColor(src_color, src_gray, COLOR_BGR2GRAY);
imshow("原图-灰度", src_gray);
imwrite("src_gray.png", src_gray);
Mat bf;//对灰度图像进行双边滤波
bilateralFilter(src_gray, bf, kvalue, kvalue*2, kvalue/2);
imshow("灰度双边滤波处理", bf);
imwrite("src_bf.png", bf);
vector<Vec3f> circles;//声明一个向量,保存检测出的圆的圆心坐标和半径
HoughCircles(bf, circles, CV_HOUGH_GRADIENT, 1.5, 20, 130, 38, 10, 50);//霍夫变换检测圆
std::vector<int> v;//保存圆心的横坐标减纵坐标的绝对值,用于区分两排灯
cout << "x=\ty=\tr=" << endl;
for(size_t i = 0; i < circles.size(); i++)//把霍夫变换检测出的圆画出来
{
Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));
int radius = cvRound(circles[i][2]);
circle( dst, center, 1, Scalar(0, 255, 0), -1, 8, 0 );//画出圆心,颜色为绿色
circle( dst, center, radius, Scalar(0, 0, 255), 1, 8, 0 );//画出圆的轮廓,颜色为红色
v.push_back(abs(center.x-center.y));//存储圆心的横坐标减纵坐标的绝对值,用于区分两排灯
cout << center.x << "\t" << center.y << "\t" << radius << endl;//在控制台输出圆心坐标和半径
}
sort(v.begin(), v.end());//从小到大排序
std::vector<Point> points1, points2;//声明点向量,分别存储两排灯的圆心坐标
for (size_t i = 0; i < circles.size(); i++)//用来区分两排灯
{
Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));
if (abs(center.x-center.y) < v[12])
points1.push_back(Point(center.x, center.y));//存储从左上到右下那排灯的圆心坐标
else
points2.push_back(Point(center.x, center.y));//存储从左下到右上那排灯的圆心坐标
}
cv::Vec4f line1, line2;//拟合直线
fitLine(Mat(points1), line1, CV_DIST_L2, 0, 0.01, 0.01);
fitLine(Mat(points2), line2, CV_DIST_L2, 0, 0.01, 0.01);
int x01 = (int)line1[2];
int y01 = (int)line1[3];
int x11 = (int)(x01 + 300*line1[0]);
int y11 = (int)(y01 + 300*line1[1]);
int x21 = (int)(x01 - 300*line1[0]);
int y21 = (int)(y01 - 300*line1[1]);
int x02 = (int)line2[2];
int y02 = (int)line2[3];
int x12 = (int)(x02 + 300*line2[0]);
int y12 = (int)(y02 + 300*line2[1]);
int x22 = (int)(x02 - 300*line2[0]);
int y22 = (int)(y02 - 300*line2[1]);
cv::line(dst, Point(x11, y11), Point(x21, y21), Scalar(255, 255, 255), 1);//画出直线
cv::line(dst, Point(x12, y12), Point(x22, y22), Scalar(255, 255, 255), 1);
imshow("特征提取", dst);
imwrite("dst.png", dst);
waitKey();
}</span>
原图:
效果图:
原文地址:http://blog.csdn.net/kh1445291129/article/details/45801611