opencv-霍夫变换 检测直线

<pre style="overflow-x: auto; overflow-y: hidden; padding: 5px; color: rgb(51, 51, 51); line-height: 15.600000381469727px; border-top-width: 1px; border-bottom-width: 1px; border-style: solid none; border-top-color: rgb(170, 204, 238); border-bottom-color: rgb(170, 204, 238); text-align: justify; background-color: rgb(224, 245, 255);"><strong><span style="font-size:24px;">用法：</span></strong>
vector<Vec4i> lines;
HoughLinesP(dst, lines, 1, CV_PI/180, 50, 50, 10 );

<strong><span style="font-size:24px;">代码如下：</span></strong>

#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
using namespace cv;
using namespace std;

void help()
{
 cout << "\nThis program demonstrates line finding with the Hough transform.\n"
         "Usage:\n"
         "./houghlines <image_name>, Default is pic1.jpg\n" << endl;
}

int main(int argc, char** argv)
{
 const char* filename = argc >= 2 ? argv[1] : "cat2.jpg";

 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, CV_GRAY2BGR);

  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);
  }
 imshow("source", src);
 imshow("detected lines", cdst);

 waitKey();

 return 0;
}