Laser & Optoelectronics Progress, Volume. 61, Issue 22, 2212006(2024)
Improved YOLOv8n Lightweight Honeycomb Ceramic Defect-Detection Algorithm
Fig. 6. Pictures of common defects in cylindrical honeycomb ceramics. (a) Ceramic physical object; (b) lateral crack; (c) stuff; (d) scratch
Fig. 7. Data augmentation. (a) Rotation; (b) flip over; (c) random cropping; (d) histogram equalization
Fig. 8. Comparison of small crack identification before and after improvement. (a) Recognition effect of original model; (b) improved model recognition effect
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Haining Hu, Leiyang Huang, Honggang Yang, Yunxia Chen. Improved YOLOv8n Lightweight Honeycomb Ceramic Defect-Detection Algorithm[J]. Laser & Optoelectronics Progress, 2024, 61(22): 2212006
Category: Instrumentation, Measurement and Metrology
Received: Feb. 5, 2024
Accepted: Apr. 11, 2024
Published Online: Nov. 20, 2024
The Author Email: Yunxia Chen (cyx1978@yeah.net)
CSTR:32186.14.LOP240670