Opencv的lsd算法

检测效果比霍夫变换要好

#include<iostream>
#include<opencv.hpp>
using namespace cv;
using namespace std;
int main()
{
    cout << "hello world" << endl;
    Mat image = imread("E:/Project/DemoV2/56.jpg");
    Mat grayImage;
    cvtColor(image,grayImage,CV_BGR2GRAY);
    // Create and LSD detector with standard or no refinement.
    //Canny(grayImage, grayImage, 50, 200, 3); // Apply canny edge//可选canny算子
#if 1
    Ptr<LineSegmentDetector> ls = createLineSegmentDetector(LSD_REFINE_ADV);//或者两种LSD算法，这边用的是standard的
#else
    Ptr<LineSegmentDetector> ls = createLineSegmentDetector(LSD_REFINE_NONE);
#endif
    double start = double(getTickCount());
    vector<Vec4f> lines_std;
    // Detect the lines
    ls->detect(grayImage, lines_std);//这里把检测到的直线线段都存入了lines_std中，4个float的值，分别为起止点的坐标
    for (int i = 0; i < lines_std.size(); i++)
    {
        cout << lines_std[i][0] <<" "<< lines_std[i][1]<<" "
            << lines_std[i][2]<<" "<<lines_std[i][3]<<endl;
    }
    double duration_ms = (double(getTickCount()) - start) * 1000 / getTickFrequency();
    std::cout << "It took " << duration_ms << " ms." << std::endl;
    // Show found lines
    Mat drawnLines(image);
    ls->drawSegments(drawnLines, lines_std);
    imshow("Standard refinement", drawnLines);
    waitKey(0);
    return 0;
}