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Chinese Journal of Lasers, Volume. 49, Issue 21, 2104005(2022)

Improved Lightweight X-Ray Aluminum Alloy Weld Defects Detection Algorithm Based on YOLOv5

Song Cheng1, Honggang Yang1, Xueqian Xu1, Min Li2, and Yunxia Chen1、*
Author Affiliations
  • 1School of Mechanical Engineering, Shanghai Dianji University, Shanghai 201306, China
  • 2Shanghai University of Electric Power, Shanghai 201306, China
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    Article index updated: Mar. 10, 2025

    The article is cited by 24 article(s) CLP online library. (Some content might be in Chinese.)
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    Song Cheng, Honggang Yang, Xueqian Xu, Min Li, Yunxia Chen. Improved Lightweight X-Ray Aluminum Alloy Weld Defects Detection Algorithm Based on YOLOv5[J]. Chinese Journal of Lasers, 2022, 49(21): 2104005

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    Paper Information

    Category: Measurement and metrology

    Received: Jan. 28, 2022

    Accepted: Mar. 9, 2022

    Published Online: Nov. 2, 2022

    The Author Email: Chen Yunxia (chenyx@sdju.edu.cn)

    DOI:10.3788/CJL202249.2104005

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology