Chinese Journal of Lasers, Volume. 46, Issue 1, 102001(2019)

Feature Points Extraction of Laser Vision Weld Seam Based on Genetic Algorithm

Zhang Bin*, Chang Sen, Wang Ju, and Wang Qian
Author Affiliations
  • [in Chinese]
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    Figures & Tables(14)
    Structure diagram of laser vision system
    Image preprocessing procedure
    Image preprocessing effect. (a) Original image of weld laser detection; (b) median filtering results; (c) threshold segmentation results with Otsu method
    Extraction and filling of connected domain. (a) Extraction result; (b) filling result
    Extraction and filling of connected domain in complex noise environments. (a) Original image; (b) connected domain filling result
    Scanning line position determination diagrams. (a) α∈[0°,90°); (b) α=90°; (c) α∈(90°,180°)
    Flow chart of laser stripe skeleton extraction based on genetic algorithm
    Center points scanning of laser stripe
    Schematic of line fitting and error points elimination
    Feature point extraction of the weld seam
    Field working diagram of laser vision system. (a) To be welded; (b) welding
    Representative images collected during the test. (a) Proposed method; (b) Hough method
    Statistical graph of weld feature points extraction deviation. (a) Proposed method; (b) Hough method
    • Table 1. Statistical table of feature points extraction deviation of weld seam

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      Table 1. Statistical table of feature points extraction deviation of weld seam

      MethodAverageerror /mmStandarddeviation /mm
      Hough method0.480.26
      Proposed method0.200.11
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    Zhang Bin, Chang Sen, Wang Ju, Wang Qian. Feature Points Extraction of Laser Vision Weld Seam Based on Genetic Algorithm[J]. Chinese Journal of Lasers, 2019, 46(1): 102001

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    Paper Information

    Category: laser manufacturing

    Received: Jul. 9, 2018

    Accepted: --

    Published Online: Jan. 27, 2019

    The Author Email: Bin Zhang (zhwwbin@cjlu.edu.cn)

    DOI:10.3788/CJL201946.0102001

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