A novel line segment detection algorithm based on graph search

Hong-dan Zhao; Guo-ying Liu; Xu Song

doi:10.1117/12.2285324

19 February 2018 A novel line segment detection algorithm based on graph search

Hong-dan Zhao, Guo-ying Liu, Xu Song

Proceedings Volume 10608, MIPPR 2017: Automatic Target Recognition and Navigation; 106080I (2018) https://doi.org/10.1117/12.2285324
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

To overcome the problem of extracting line segment from an image, a method of line segment detection was proposed based on the graph search algorithm. After obtaining the edge detection result of the image, the candidate straight line segments are obtained in four directions. For the candidate straight line segments, their adjacency relationships are depicted by a graph model, based on which the depth-first search algorithm is employed to determine how many adjacent line segments need to be merged. Finally we use the least squares method to fit the detected straight lines. The comparative experimental results verify that the proposed algorithm has achieved better results than the line segment detector (LSD).

Citation Download Citation

Hong-dan Zhao, Guo-ying Liu, and Xu Song "A novel line segment detection algorithm based on graph search", Proc. SPIE 10608, MIPPR 2017: Automatic Target Recognition and Navigation, 106080I (19 February 2018); https://doi.org/10.1117/12.2285324

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