Chinese Journal of Lasers, Volume. 51, Issue 24, 2402110(2024)

Laser Stripe Segmentation of Weld Seam Based on CNN‑Transformer Hybrid Networks

Ying Wang1、*, Sheng Gao2, and Zhe Dai1
Author Affiliations
  • 1School of Computer Information Technology, Northeast Petroleum University, Daqing 163318, Heilongjiang , China
  • 2School of Mechanical Science and Engineering, Northeast Petroleum University, Daqing 163318, Heilongjiang , China
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    References(29)

    [3] Chen H Y, Ren Y F, Wang Y N et al. Clear image acquisition of V-shaped welding area based on visual attention[J]. Transactions of the China Welding Institution, 39, 129-130(2018).

    [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).

    [7] Zhang T Y, Zhu Z M, Zhu C H et al. Visual sensing image processing and feature information extraction for arc welding[J]. Journal of Tsinghua University (Science and Technology), 62, 156-162(2022).

    [14] Shen J Q, Liu C F, Hu S S et al. Weld seam image processing based on improved U-net neural network[J]. Journal of Tianjin University (Science and Technology), 56, 436-442(2023).

    [18] Chen B, He S, Liu J et al. Weld structured light image segmentation based on lightweight DeepLabv3+ network[J]. Chinese Journal of Lasers, 50, 0802105(2023).

    [20] Huang Y G, Wang D Q, Jiang M et al. Laser fringe segmentation and feature points location method of weld image based on multi-task learning[J]. Chinese Journal of Lasers, 50, 1602108(2023).

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    Ying Wang, Sheng Gao, Zhe Dai. Laser Stripe Segmentation of Weld Seam Based on CNN‑Transformer Hybrid Networks[J]. Chinese Journal of Lasers, 2024, 51(24): 2402110

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    Paper Information

    Category: Laser Forming Manufacturing

    Received: Mar. 26, 2024

    Accepted: Jun. 21, 2024

    Published Online: Dec. 11, 2024

    The Author Email: Wang Ying (wangying@nepu.edu.cn)

    DOI:10.3788/CJL240710

    CSTR:32183.14.CJL240710

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