LSD在opencv中的实现

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LSD算法是一种直线检测的算法，比hough效果好，作者将代码和文章上传了，详见http://www.ipol.im/pub/art/2012/gjmr-lsd/。

opencv3.0也集成了其算法，这边说下如何在opencv里面调用。下面代码其实也是opencv给的example 可以在http://docs.opencv.org/master/d8/dd4/lsd_lines_8cpp-example.html#a9

#include <iostream>#include <string>#include "opencv2/core/core.hpp"#include "opencv2/core/utility.hpp"#include "opencv2/imgproc/imgproc.hpp"#include "opencv2/imgcodecs.hpp"#include "opencv2/highgui/highgui.hpp"using namespace std;using namespace cv;int main(int argc, char** argv){    std::string in;    if (argc != 2)    {        std::cout << "Usage: lsd_lines [input image]. Now loading ../data/building.jpg" << std::endl;        in = "../data/building.jpg";    }    else    {        in = argv[1];    }    Mat image = imread(in, IMREAD_GRAYSCALE);//读入原图，需为灰度图像#if 0    Canny(image, image, 50, 200, 3); // Apply canny edge//可选canny算子#endif    // Create and LSD detector with standard or no refinement.#if 1    Ptr<LineSegmentDetector> ls = createLineSegmentDetector(LSD_REFINE_STD);//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(image, 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    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();    return 0;}

这边初学，有许多不正确的地方，还请批评指正。

对LSD原理的东西这两篇写的比较好

http://blog.csdn.net/carson2005/article/details/9326847

http://blog.csdn.net/polly_yang/article/details/10085401

大家有兴趣也可以对比下源码看看，我把opencv里面LSD的源码也整理出来了

http://download.csdn.net/detail/mollylee1011/8961213

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