x
1 #include <opencv2/opencv.hpp> 2 #include <iostream> 3 #include <math.h> 4 5 using namespace cv; 6 using namespace std; 7 8 9 int main(int argc, char** argv) 10 { 11 Mat src, src_gray, dst; 12 src = imread("test1.jpg"); 13 14 char INPUT_TITLE[] = "input image"; 15 16 imshow(INPUT_TITLE, src); 17 18 Canny(src, src_gray, 150, 200); 19 cvtColor(src_gray, dst, CV_GRAY2BGR); 20 imshow("edge image", src_gray); 21 imshow("gray", dst); 22 23 //方法1(标准霍夫变换) 24 //vector<Vec2f> lines; 25 //HoughLines(src_gray, lines, 1, CV_PI / 180, 150, 0, 0); 26 //for (size_t i = 0; i < lines.size(); i++) { 27 // float rho = lines[i][0]; // 极坐标中的r长度 28 // float theta = lines[i][1]; // 极坐标中的角度 29 // Point pt1, pt2; 30 // double a = cos(theta), b = sin(theta); 31 // double x0 = a * rho, y0 = b * rho; 32 // // 转换为平面坐标的四个点 33 // pt1.x = cvRound(x0 + 1000 * (-b));//对一个double型的数进行四舍五入,并返回一个整型数! 34 // pt1.y = cvRound(y0 + 1000 * (a)); 35 // pt2.x = cvRound(x0 - 1000 * (-b)); 36 // pt2.y = cvRound(y0 - 1000 * (a)); 37 // line(dst, pt1, pt2, Scalar(0, 0, 255), 1, CV_AA); 38 //} 39 40 41 //第二种方法(概率霍夫变换) 42 vector<Vec4f> plines; 43 HoughLinesP(src_gray, plines, 1, CV_PI / 180.0, 10, 0, 10); 44 Scalar color = Scalar(0, 0, 255); 45 for (size_t i = 0; i < plines.size(); i++) { 46 Vec4f hline = plines[i]; 47 line(dst, Point(hline[0], hline[1]), Point(hline[2], hline[3]), color, 3, LINE_AA); 48 } 49 50 imshow("效果图",dst); 51 52 waitKey(0); 53 return 0; 54 55 }
1 #include <opencv2/opencv.hpp> 2 #include <iostream> 3 #include <math.h> 4 5 using namespace cv; 6 using namespace std; 7 8 9 int main(int argc, char** argv) 10 { 11 Mat src, src_gray; 12 src = imread("3 input.bmp"); 13 14 char INPUT_TITLE[] = "input image"; 15 16 imshow(INPUT_TITLE, src); 17 18 //转成灰度图 19 cvtColor(src, src_gray, COLOR_BGR2GRAY); 20 21 GaussianBlur(src_gray, src_gray, Size(9, 9), 2, 2); 22 23 //进行霍夫圆变换 24 vector<Vec3f> circles; 25 HoughCircles(src_gray, circles, HOUGH_GRADIENT, 1.5, 10, 200, 100, 0, 0); 26 27 for (size_t i = 0; i < circles.size(); i++) 28 { 29 Point center(cvRound(circles[i][0]), cvRound(circles[i][1])); 30 int radius = cvRound(circles[i][2]); 31 //绘制圆心 32 circle(src, center, 3, Scalar(0, 255, 0), -1, 8, 0); //绘制圆的轮廓 33 circle(src, center, radius, Scalar(155, 50, 255), 3, 8, 0); 34 35 } 36 37 imshow("效果图", src); 38 39 waitKey(0); 40 return 0; 41 42 }
霍夫圆检测一般只会找出最大的一个圆
原文地址:https://www.cnblogs.com/long5683/p/9678386.html
时间: 2024-10-08 13:19:23