Acta Optica Sinica, Volume. 45, Issue 9, 0915001(2025)
Surface Defect Recognition of Laser Cladding Layer Based on Deep Learning
Fig. 4. Three types of cladding state. (a) Good cladding; (b) uneven cladding; (c) not fused
Fig. 5. Model architectures. (a) Traditional ResNet architecture; (b) dual-channel ResNet architecture
Fig. 6. Image transformations used for augmentation. (a) Original image; (b) rotation; (c) random aspect ratio; (d) flipping
Fig. 7. Defect imaging enhancement process. (a) Original image; (b) removing noise; (c) dictionary matrix in K-SVD algorithm; (d) final image
Fig. 11. Rendering of Guided Grad-CAM and its flow chart for good cladding images
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Da Chen, Xuan Zhang, Shengbin Zhao, Mingdi Wang. Surface Defect Recognition of Laser Cladding Layer Based on Deep Learning[J]. Acta Optica Sinica, 2025, 45(9): 0915001
Category: Machine Vision
Received: Jan. 8, 2025
Accepted: Mar. 11, 2025
Published Online: May. 16, 2025
The Author Email: Shengbin Zhao (shengbinz@163.com), Mingdi Wang (wangmingdi@suda.edu.cn)
CSTR:32393.14.AOS250462