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;}