Opto-Electronic Engineering, Volume. 52, Issue 2, 240280-1(2025)

Improving the lightweight FCM-YOLOv8n for steel surface defect detection

Liming Liang... Kangquan Chen, Linjun Chen and Pengwei Long |Show fewer author(s)
Author Affiliations
  • School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, Jiangxi 341000, China
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    References(18)

    [1] S Q Huang, J G Huang. Improved steel defect detection method based on enhanced fusion of RFB and YOLOv5 features. Comput Eng(2024).

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

    [3] L M Liang, P W Long, Y Feng et al. Improving the lightweight VTG-YOLOv7-tiny for steel surface defect detection. Opt Precis Eng, 32, 1227-1240(2024).

    [7] X Q Wang, H B Gao, Z M Jia et al. BL-YOLOv8: an improved road defect detection model based on YOLOv8. Sensors, 23, 8361(2023).

    [8] S Zeng, W Z Yang, Y Y Jiao et al. SCA-YOLO: a new small object detection model for UAV images. Vis Comput, 40, 1787-1803(2024).

    [9] G Li, R Shao, M L Zhou et al. Lightweight industrial products defect detection network based on attention. Comput Eng, 49, 275-283(2023).

    [10] Y Liu, S X Jiang. Steel surface defect detection algorithm based on improved YOLOX. Mod Electron Tech, 47, 131-138(2024).

    [11] D M Ma, J H Zhu. The optimization of YOLOv5 algorithm for detecting surface defects on hot rolled strips. Manuf Technol Mach Tool, 153-160(2024).

    [12] X Y Xu, T Shen, J Lv. Steel Surface Defect Detection Based On Improved YOLOv8 algorithm. Autom Appl, 65, 6-10(2024).

    [13] L W Chen, Y Fu, L Gu et al. Frequency-aware feature fusion for dense image prediction. IEEE Trans Pattern Anal Mach Intell, 46, 10763-10780(2024).

    [17] C C Yeung, K M Lam. Efficient fused-attention model for steel surface defect detection. IEEE Trans Instrum Meas, 71, 2510011(2022).

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    Liming Liang, Kangquan Chen, Linjun Chen, Pengwei Long. Improving the lightweight FCM-YOLOv8n for steel surface defect detection[J]. Opto-Electronic Engineering, 2025, 52(2): 240280-1

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    Paper Information

    Category: Article

    Received: Nov. 30, 2024

    Accepted: Jan. 6, 2025

    Published Online: Apr. 27, 2025

    The Author Email:

    DOI:10.12086/oee.2025.240280

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