Opto-Electronic Engineering, Volume. 52, Issue 5, 250032(2025)

Steel surface defect detection based on YOLOv8-SOE

Yujie Ma1,2, Chuqing Cao1,2、*, and Jing Zhang2
Author Affiliations
  • 1School of Computer and Information, Anhui Polytechnic University, Wuhu, Anhui 241000, China
  • 2Yangtze River Delta HIT Robot Technology Research Institute, Wuhu, Anhui 241000, China
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    References(28)

    [1] Luo Q W, Fang X X, Liu L et al. Automated visual defect detection for flat steel surface: a survey[J]. IEEE Trans Instrum Meas, 69, 626-644(2020).

    [4] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Trans Patt Anal Mach Intell, 39, 1137-1149(2017).

    [11] Li J J, Chen M X. DEW-YOLO: an efficient algorithm for steel surface defect detection[J]. Appl Sci, 14, 5171(2024).

    [12] Yang S X, Xie Y, Wu J Q et al. CFE-YOLOv8s: improved YOLOv8s for steel surface defect detection[J]. Electronics, 13, 2771(2024).

    [14] Zhang X R, Wang Y L, Fang H S. Steel surface defect detection algorithm based on ESI-YOLOv8[J]. Mater Res Express, 11, 056509(2024).

    [15] Huang Y, Tan W Z, Li L et al. WFRE-YOLOv8s: a new type of defect detector for steel surfaces[J]. Coatings, 13, 2011(2023).

    [19] Zheng Z H, Wang P, Ren D W et al. Enhancing geometric factors in model learning and inference for object detection and instance segmentation[J]. IEEE Trans Cybern, 52, 8574-8586(2022).

    [21] Bao Y Q, Song K C, Liu J et al. Triplet-graph reasoning network for few-shot metal generic surface defect segmentation[J]. IEEE Trans Instrum Meas, 70, 5011111(2021).

    [22] Song K C, Yan Y H. A noise robust method based on completed local binary patterns for hot-rolled steel strip surface defects[J]. Appl Surf Sci, 285, 858-864(2013).

    [23] He Y, Song K C, Meng Q G et al. An end-to-end steel surface defect detection approach via fusing multiple hierarchical features[J]. IEEE Trans Instrum Meas, 69, 1493-1504(2020).

    [24] 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).

    [25] Hu Y L, Yang J, Xu C Y et al. PIC2f-YOLO: a lightweight method for the detection of metal surface defects[J]. Opto-Electron Eng, 52, 240250(2025).

    [26] Huang S Q, Huang J G. Improved steel defect detection method based on enhanced fusion of RFB and YOLOv5 features[J]. Comput Eng, 51, 249-260(2025).

    [27] 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).

    [28] Everingham M, Eslami S M A, Van Gool L et al. The pascal visual object classes challenge: A retrospective[J]. Int J Comput Vis, 111, 98-136(2015).

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    Yujie Ma, Chuqing Cao, Jing Zhang. Steel surface defect detection based on YOLOv8-SOE[J]. Opto-Electronic Engineering, 2025, 52(5): 250032

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    Paper Information

    Category: Article

    Received: Feb. 13, 2025

    Accepted: Apr. 3, 2025

    Published Online: Jul. 18, 2025

    The Author Email: Chuqing Cao (曹雏清)

    DOI:10.12086/oee.2025.250032

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