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WU Xin1, LI Qiang1, QI Bojin2. Application of Snake model and genetic algorithm in special weld seam extraction[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(9): 83-89. DOI: 10.12073/j.hjxb.2018390229
Citation: WU Xin1, LI Qiang1, QI Bojin2. Application of Snake model and genetic algorithm in special weld seam extraction[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(9): 83-89. DOI: 10.12073/j.hjxb.2018390229
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Application of Snake model and genetic algorithm in special weld seam extraction

  • 1. School of mechanical and electronic control engineering, Beijing Jiaotong University, Beijing 100044, China;
    2. School of Mechanical Engineering & Automation, Beihang University, Beijing 100191, China

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  • Received Date: January 15, 2018
    Graphical Abstract
    • Abstract
  • Aimed at the weld vision detection problem of arc welding robot in CCD directly photographed image, an algorithm for the extraction of special weld seam track with large discontinuity, sharp turning point and more interference was proposed. The algorithm firstly use wavelet transform to smooth the weld edge line to get the initial weld track that is very close to the final weld, and then use Snake model and genetic algorithm to get accurate matching and extraction of special welds. Experimental results demonstrate that the algorithm can improve the precision of special weld track recognition and detection, and has strong adaptability, and can also provide some technical reference for further improving the intelligent vision detection of arc welding robot.
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    • References (14)
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