Chinese Journal of Lasers, Volume. 51, Issue 20, 2002102(2024)
Aluminum Alloy Weld DR Image Defect Detection Technology Based on YOLOv7TS
Fig. 2. Structure of each module in YOLOv7Tiny. (a) Structure diagram of CBL module; (b) structure diagram of ELAN module;
Fig. 6. Defect images after data augmentation. (a) Original defect image; (b) after horizontal rotation; (c) after vertical flipping; (d) after randomly adjusting image brightness; (e) after adding salt and pepper noise; (f) after adding Gaussian noise
Fig. 9. Comparison of detection effect for slag inclusion defects in small target types. (a) Detection effect of the original model; (b) detection effect of the improved model
Fig. 10. Comparison of detection effect for three types of defects. (a) Detection effect of the original model; (b) detection effect of the improved model
|
|
|
Get Citation
Copy Citation Text
Lei Wu, Yukun Chu, Honggang Yang, Yunxia Chen. Aluminum Alloy Weld DR Image Defect Detection Technology Based on YOLOv7TS[J]. Chinese Journal of Lasers, 2024, 51(20): 2002102
Category: Laser Forming Manufacturing
Received: Oct. 20, 2023
Accepted: Jan. 8, 2024
Published Online: Oct. 11, 2024
The Author Email: Chen Yunxia (cyx1978@yeah.net)
CSTR:32183.14.CJL231313