OPTICS & OPTOELECTRONIC TECHNOLOGY, Volume. 23, Issue 2, 46(2025)
Surface Defect Detection Method Based on Deep Learning for Optical Components
[8] [8] Yann LeCun, Lon Bottou, Yoshua Bengio, et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11):2278-2324.
[11] [11] Xuebin Qin, Zichen Zhang, Chenyang Huang, et al. U2-Net:Going deeper with nested U-structure for salient object detection[J]. Pattern Recognition, 2020, 106:107404.
[15] [15] Ronneberger O, Fischer P, Brox T. U-net:Convolutional networks for biomedical image segmentation[C]//Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015:18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18. Springer International Publishing, 2015:234-241.
[16] [16] Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al. Deep residual learning for image recognition[C]Proceedings of the Ieee Conference on Computer Vision and Pattern Recognition, 2016:770-778.
[17] [17] Andrew G Howard, Menglong Zhu, Bo Chen, et al. Mobilenets:Efficient convolutional neural networks for mobile vision applications[J]. Arxiv Preprint Arxiv:1704.04861, 2017.
[18] [18] Ozan Oktay, Jo Schlemper, Loic Le Folgoc, et al. Attention u-net:Learning where to look for the pancreas[J]. Arxiv Preprint Arxiv:1804.03999, 2018.
Get Citation
Copy Citation Text
ZHANG Jing, LIU Si-ying, WANG Tian, WANG Hong-jun, TIAN Ai-ling. Surface Defect Detection Method Based on Deep Learning for Optical Components[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2025, 23(2): 46