mirror of
https://github.com/opencv/opencv.git
synced 2024-12-05 09:49:12 +08:00
2b106db02f
Also fixed some typos and code alignment Also adapted tutorial CPP samples Fixed some identation problems
64 lines
1.5 KiB
C++
64 lines
1.5 KiB
C++
#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 line finding with the Hough transform.\n"
|
|
"Usage:\n"
|
|
"./houghlines <image_name>, Default is pic1.png\n" << endl;
|
|
}
|
|
|
|
int main(int argc, char** argv)
|
|
{
|
|
const char* filename = argc >= 2 ? argv[1] : "pic1.png";
|
|
|
|
Mat src = imread(filename, 0);
|
|
if(src.empty())
|
|
{
|
|
help();
|
|
cout << "can not open " << filename << endl;
|
|
return -1;
|
|
}
|
|
|
|
Mat dst, cdst;
|
|
Canny(src, dst, 50, 200, 3);
|
|
cvtColor(dst, cdst, COLOR_GRAY2BGR);
|
|
|
|
#if 0
|
|
vector<Vec2f> lines;
|
|
HoughLines(dst, lines, 1, CV_PI/180, 100, 0, 0 );
|
|
|
|
for( size_t i = 0; i < lines.size(); i++ )
|
|
{
|
|
float rho = lines[i][0], theta = lines[i][1];
|
|
Point pt1, pt2;
|
|
double a = cos(theta), b = sin(theta);
|
|
double x0 = a*rho, y0 = b*rho;
|
|
pt1.x = cvRound(x0 + 1000*(-b));
|
|
pt1.y = cvRound(y0 + 1000*(a));
|
|
pt2.x = cvRound(x0 - 1000*(-b));
|
|
pt2.y = cvRound(y0 - 1000*(a));
|
|
line( cdst, pt1, pt2, Scalar(0,0,255), 3, CV_AA);
|
|
}
|
|
#else
|
|
vector<Vec4i> lines;
|
|
HoughLinesP(dst, lines, 1, CV_PI/180, 50, 50, 10 );
|
|
for( size_t i = 0; i < lines.size(); i++ )
|
|
{
|
|
Vec4i l = lines[i];
|
|
line( cdst, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0,0,255), 3, CV_AA);
|
|
}
|
|
#endif
|
|
imshow("source", src);
|
|
imshow("detected lines", cdst);
|
|
|
|
waitKey();
|
|
|
|
return 0;
|
|
}
|