Laser & Optoelectronics Progress, Volume. 62, Issue 16, 1622002(2025)

Weld Seam Feature Extraction Based on Improved U-Net Convolutional Neural Network

Leilei Xiong, Xuejun Zhu*, Huige Lai, Checao Yu, Kun Mao, Ming Yang, and Da Peng
Author Affiliations
  • School of Mechanical Engineering, Ningxia University, Yinchuan 750021, Ningxia , China
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    References(21)

    [2] Zhang G, Tuo S H, Cao X P et al. The state-of-the-art and developing trends of weld seam tracking technology of welding robot[J]. Science Technology and Engineering, 21, 3868-3876(2021).

    [5] Sun W Q, Qi Z, Li S C et al. Method for extracting the centerline of line structured laser light based on MSER[J]. Applied Laser, 42, 71-77(2022).

    [6] Cheng J M, Jin H, Zheng Z J et al. Welding seam groove recognition of steel structure on construction site based on machine vision[J]. Journal of Southeast University (Natural Science Edition), 53, 86-93(2023).

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    Leilei Xiong, Xuejun Zhu, Huige Lai, Checao Yu, Kun Mao, Ming Yang, Da Peng. Weld Seam Feature Extraction Based on Improved U-Net Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2025, 62(16): 1622002

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    Paper Information

    Category: Optical Design and Fabrication

    Received: Feb. 18, 2025

    Accepted: Mar. 12, 2025

    Published Online: Aug. 6, 2025

    The Author Email: Xuejun Zhu (zhxj@nxu.edu.cn)

    DOI:10.3788/LOP250654

    CSTR:32186.14.LOP250654

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