49 lines
1.2 KiB
C++
49 lines
1.2 KiB
C++
#include "opencv2/highgui/highgui.hpp"
|
|
#include "opencv2/imgproc/imgproc.hpp"
|
|
|
|
#include <iostream>
|
|
|
|
using namespace cv;
|
|
using namespace std;
|
|
|
|
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, CV_GRAY2BGR);
|
|
|
|
vector<Vec3f> circles;
|
|
HoughCircles(img, circles, CV_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, CV_AA);
|
|
circle( cimg, Point(c[0], c[1]), 2, Scalar(0,255,0), 3, CV_AA);
|
|
}
|
|
|
|
imshow("detected circles", cimg);
|
|
waitKey();
|
|
|
|
return 0;
|
|
}
|