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FFD-YOLO： LCD screen defect detection for small targets and complex backgrounds
Image Processing | 更新时间：2026-03-02

    • FFD-YOLO： LCD screen defect detection for small targets and complex backgrounds

    • “New progress has been made in the detection of surface defects on LCD screens. Experts have proposed the FFD-YOLO algorithm based on lightweight YOLOv8n and introduced innovative designs such as FasterNet backbone network, significantly improving detection performance and providing efficient and reliable solutions for industrial visual inspection systems.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 41, Issue 2, Pages: 208-221(2026)

    • DOI：10.37188/CJLCD.2025-0220    

      CLC： TN873.93;TP391.4
    • CSTR：32172.14.CJLCD.2025-0220    

    • Received：31 October 2025，

      Revised：2025-12-21，

      Published：05 February 2026

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  • SHAN Honggang, NI Yilin, CAI Jiangang, et al. FFD-YOLO： LCD screen defect detection for small targets and complex backgrounds[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(2): 208-221. DOI： 10.37188/CJLCD.2025-0220. CSTR： 32172.14.CJLCD.2025-0220.

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Related Author

QI Shunnan
LIAO Zewei
ZHU Jun
CAI Jiangang
NI Yilin
WANG Guibao
XIONG Zhaoxin
LI Pengfei

Related Institution

Shanghai Dianji University
School of Physics and Electronic Engineering， Shaanxi University of Technology
School of Electronic Information and Artificial Intelligence， Shaanxi University of Science & Technology
Hubei Tianwei Automobile Co. Ltd.
School of Mechanical and Electronic Engineering， Wuhan University of Technology
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