Opto-Electronic Engineering, Volume. 52, Issue 1, 240250(2025)
PIC2f-YOLO: a lightweight method for the detection of metal surface defects
[1] Li G Q. Analysis on the development status of bell-less top equipment maintenance for blast furnaces[J]. Plant Maintenance Eng, 35-36(2019).
[2] Pan C Y. Research on data compression method of massive magnetic flux leakage detection data of surface defects on steel plate based on improved SPIHT algorithm[D](2013).
[3] Xu C H, Chen G M, Xie J. Application of infrared thermography technology in surface defects detection of products in metal[J]. Manuf Autom Eng, 31, 51-54(2009).
[5] Lu J L, Lin M X, Huang Y et al. A high-accuracy algorithm for surface defect detection of steel based on DAG-SVM[J]. Sens Transducers, 157, 412-418(2013).
[7] Ding K Y, Ding Z H, Zhang Z B et al. SCD-YOLO: a novel object detection method for efficient road crack detection[J]. Multimedia Syst, 30, 351(2024).
[8] Zhu K J. Research on object detection based on deep learning[J]. Mod Inf Technol, 8, 76-83(2024).
[9] 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 Pattern Anal Mach Intell, 39, 1137-1149(2017).
[10] Liu Q, Lei J S. Surface defect detection of steel based on improved deep network[J]. Comput Eng Design, 43, 2654-2661(2022).
[12] Jiang F F, Li N, Qiu C C et al. Defect detection method of wire mesh based on improved Faster RCNN[J]. China Sciencepaper, 19, 153-159(2024).
[13] Ma Y T, Zhao H D, Yan C et al. Strip steel surface defect detection method by improved YOLOv5 network[J]. J Electron Meas Instrum, 36, 150-157(2022).
[14] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need[C], 6000-6010(2017).
[15] Li X, Wang C, Li B et al. Steel surface defect detection algorithm based on Improved YOLOv 5[J]. J Air Force Eng Univ, 23, 26-33(2022).
[16] Xiong C, Yu A N, Gao X H et al. Steel surface defect detection algorithm based on improved YOLOX[J]. Electron Meas Technol, 46, 151-157(2023).
[17] 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).
[24] 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).
[26] Everingham M, Eslami S M A, Van Gool L et al. The PASCAL visual object classes challenge: a retrospective[J]. Int J Comput Vision, 111, 98-136(2015).
[29] Shuai J X. The design and implementation of the digital system of a System-on-a-Chip CMOS image sensor[D](2009).
Get Citation
Copy Citation Text
Yilun Hu, Jun Yang, Congyuan Xu, Yajin Xia, Wenbin Deng. PIC2f-YOLO: a lightweight method for the detection of metal surface defects[J]. Opto-Electronic Engineering, 2025, 52(1): 240250
Category: Article
Received: Oct. 23, 2024
Accepted: Dec. 16, 2024
Published Online: Feb. 21, 2025
The Author Email: Wenbin Deng (邓文斌)