Journal of Applied Optics, Volume. 46, Issue 4, 868(2025)
Improved YOLOv7 for dust and point defects detection of optical lens
[2] CAO Yu, XU Chuanpeng. Application of an improved threshold segmentation algorithm in lens defect detection[J]. Laser & Optoelectronics Progress, 58, 219-224(2021).
[3] SUN Li, LIU Chen, YAO Hongbing. Automatic detection of water-mask for resin glassby machine vision[J]. Journal of Jiangsu University (Natural Science Edition), 39, 425-430(2018).
[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 Transactions on Pattern Analysis & Machine Intelligence, 39, 1137-1149(2016).
[5] REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: unified, real-time object detection[C], 779-788(2016).
[6] REDMON J, FARHADI A. YOLO9000: better, faster, stronger[C], 6517-6525(2017).
[8] ZHU Hongzhao. The research on resin lens defect recogni- tion method based on degenerate YOLO network[D](2019).
[9] WANG Yulong. Research on scratch detction of optical lens surface based on U-Net network[D](2021).
[10] HOU W, TAO X, XU D. Combining prior knowledge with CNN for weak scratch inspection of optical components[J]. IEEE Transactions on Instrumentation and Measurement, 70, 1-11(2020).
[11] LIU Xiaolei, LIU Fenghui, CUI Chenjia. Optical glass curved lens based on YOLOv5s network defect detection methods[J]. Laser Journal, 45, 94-99(2024).
[13] National Technical Committee of Standardization of Optics and Photonics[S]. GB/T 1185-2006 optical parts surface defects(2007).
[15] LIU S T, DI H, WANG Y H. Receptive field block net for accurate and fast object detection.[C], 404-419(2018).
[18] YANG L, ZHANG R Y, LI L, et al. SimAM: a simple, parameter-free attention module for convolutional neural networks[C], 11863-11874(2021).
[21] LIU W, ANGUELOV D, ERHAN D, et al. SSD: single shot multibox detector[J]. European Conference on Computer Vision (ECCV), 9905, 21-37(2016).
[22] NILCOLAS C, FRANCISCO M, Gabriel S, et al. End-to-end object detection with transformers[C], 213-229(2020).
[24] TAN M X, PANG R M, LE Q V. EfficientDet: scalable and efficient object detection[C], 10778-10787(2020).
[25] VARGHESE R, SAMBATH M. YOLOv8: a novel object detection algorithm with enhanced performance and robustness[C], 1-6(2024).
Get Citation
Copy Citation Text
Xiaolei LIU, Shibo XU. Improved YOLOv7 for dust and point defects detection of optical lens[J]. Journal of Applied Optics, 2025, 46(4): 868
Category:
Received: Aug. 30, 2024
Accepted: --
Published Online: Sep. 16, 2025
The Author Email: Shibo XU (徐诗博)