mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
48 lines
1.2 KiB
48 lines
1.2 KiB
#include "opencv2/highgui/highgui.hpp" |
|
#include "opencv2/imgproc/imgproc.hpp" |
|
|
|
#include <iostream> |
|
|
|
using namespace cv; |
|
using namespace std; |
|
|
|
static void help() |
|
{ |
|
cout << "\nThis program demonstrates circle finding with the Hough transform.\n" |
|
"Usage:\n" |
|
"./houghcircles <image_name>, Default is pic1.png\n" << endl; |
|
} |
|
|
|
int main(int argc, char** argv) |
|
{ |
|
const char* filename = argc >= 2 ? argv[1] : "board.jpg"; |
|
|
|
Mat img = imread(filename, 0); |
|
if(img.empty()) |
|
{ |
|
help(); |
|
cout << "can not open " << filename << endl; |
|
return -1; |
|
} |
|
|
|
Mat cimg; |
|
medianBlur(img, img, 5); |
|
cvtColor(img, cimg, COLOR_GRAY2BGR); |
|
|
|
vector<Vec3f> circles; |
|
HoughCircles(img, circles, HOUGH_GRADIENT, 1, 10, |
|
100, 30, 1, 30 // change the last two parameters |
|
// (min_radius & max_radius) to detect larger circles |
|
); |
|
for( size_t i = 0; i < circles.size(); i++ ) |
|
{ |
|
Vec3i c = circles[i]; |
|
circle( cimg, Point(c[0], c[1]), c[2], Scalar(0,0,255), 3, LINE_AA); |
|
circle( cimg, Point(c[0], c[1]), 2, Scalar(0,255,0), 3, LINE_AA); |
|
} |
|
|
|
imshow("detected circles", cimg); |
|
waitKey(); |
|
|
|
return 0; |
|
}
|
|
|