Opto-Electronic Engineering, Volume. 52, Issue 3, 240296(2025)

Improved weld surface defect detection algorithm from YOLOv8

Runmei Zhang1, Chenfei Pan2, Zihua Chen1、*, Zhong Chen1, and Bin Yuan1
Author Affiliations
  • 1School of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei, Anhui 230601, China
  • 2School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei, Anhui 230601, China
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    References(26)

    [1] Liang L M, Long P W, Lu B H et al. Improvement of GBS-YOLOv7t for steel surface defect detection[J]. Opto-Electron Eng, 51, 240044(2024).

    [2] Su H, Zhang J B, Zhang B H et al. Review of surface defect inspection based on visual perception[J]. Comput Integr Manuf Syst, 29, 169-191(2023).

    [3] Yang L S, Li M J, Hu J W et al. Strip steel surface defect detection algorithm based on improved YOLOv7-tiny[J]. Comput Eng, 51, 208-215(2025).

    [9] Sun X D, Wu P C, Hoi S C H. Face detection using deep learning: an improved faster RCNN approach[J]. Neurocomputing, 299, 42-50(2018).

    [10] Mu C Y, Li C, Ma X et al. Improved YOLOv7-tiny lightweight large casting weld defect detection[J]. Modular Mach Tool Autom Manuf Tech, 156-160(2024).

    [11] Li Q P, Miao H B, Li Z W et al. Weld surface defect detection based on the improved YOLOv7-tiny algorithm[J]. Weld Technol, 53, 123-126(2024).

    [12] Song J S. Research on weld defect detection based on improved Yolov8[J]. China Plant Engineering, 196-199(2024).

    [13] Zhang E Z, Li L, Wang J H et al. Improved YOLOv8-based quality inspection method for ship plate welds[J]. J Shaanxi Univ Sci Technol, 42, 172-179(2024).

    [14] Li X W, He S Q, He D Q et al. Lightweight detection method for weld defects of metro train based on improved YOLOv8[J]. J Guangxi Univ (Nat Sci Ed), 49, 540-552(2024).

    [15] Wu L, Chu Y K, Yang H C et al. Sim-YOLOv8 object detection model for DR image defects in aluminum alloy welds[J]. Chin J Lasers, 51, 1602103(2024).

    [19] Li H L, Li J, Wei H B et al. Slim-neck by GSConv: a lightweight-design for real-time detector architectures[J]. J Real Time Image Process, 21, 62(2022).

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    [26] Huang Y, Tan W, Li L et al. WFRE-YOLOv8s: a new type of defect detector for steel surfaces[J]. Coatings, 13, 2010(2023).

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    Runmei Zhang, Chenfei Pan, Zihua Chen, Zhong Chen, Bin Yuan. Improved weld surface defect detection algorithm from YOLOv8[J]. Opto-Electronic Engineering, 2025, 52(3): 240296

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    Paper Information

    Category: Article

    Received: Dec. 17, 2024

    Accepted: Feb. 25, 2025

    Published Online: May. 22, 2025

    The Author Email: Zihua Chen (陈梓华)

    DOI:10.12086/oee.2025.240296

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