Laser & Optoelectronics Progress, Volume. 60, Issue 16, 1615007(2023)
Aero-Engine Surface Defect Detection Model Based on Improved YOLOv5
Figures & Tables(12)
Fig. 9. Comparison of the detection effect of two models. (a) (b) (c) Detection effect of YOLOv5s; (d) (e) (f) Detection effect of YOLOv5-CE
Table 1. Search space
View tableTable 1. Search space
Data augmentation substrategy Description Range of Vmagnitude Contrast Adjust the contrast of the image. Vmagnitude=0 gives a gray image and Vmagnitude=1 gives the original image ［0，2］ Sharpness Adjust the sharpness of the image. Vmagnitude=0 gives a blurred image and Vmagnitude=1 gives the original image ［0，2］ Brightness Adjust the brightness of the image. Vmagnitude=0 gives a black image and Vmagnitude=1 gives the original image ［0，2］ Rotation Rotate the image by Vmagnitude degrees ［-90°，90°］ Scale Enlarge or reduce the image to Vmagnitude scales ［0.5，2］ Flip Flip the image Flip up-down/flip left-right HSV augmentation Adjust the H（hue），S（saturation），and V（value）of the image H：［0°，360°］，S：［0，1］，V：［0，1］ Noise Add noise to the image Gaussian noise and salt and pepper noise
Table 2. Comparison of the detection performance of algorithms
View tableTable 2. Comparison of the detection performance of algorithms
Model PAP /% PmAP /% Speed /（frame/s） Capacity /MB crack gap pit scratch Faster
R-CNN
75.4 78.1 58.7 83.1 73.8 14.29 109 YOLOv3 82.1 89.8 85.1 76.1 83.3 22.63 235 YOLOv4 90.0 93.2 86.6 79.0 87.2 24.72 244 YOLOv5s 94.9 99.5 98.4 96.5 97.3 41.32 14.4 YOLOXs 90.8 90.7 90.9 90.8 90.8 110.62 68.7 YOLOv5-CE 97.3 99.4 99.2 98.2 98.5 40.65 14.5
Table 3. Ablation experiments
View tableTable 3. Ablation experiments
Model Rprecision /% Rrecall /% PAP /% PmAP /% Speed /（frame/s） crack gap pit scratch YOLOv5s 97.7 94.7 94.9 99.5 98.4 96.5 97.3 41.32 YOLOv5_A 96.8 95.7 95.2 99.5 98.9 97.8 97.9 40.49 YOLOv5-C 97.8 95.7 96.9 99.5 99.3 96.9 98.2 41.15 YOLOv5-E 97.3 96.6 96.4 99.5 99.3 98.2 98.4 46.73 YOLOv5-CE 98.1 95.4 97.3 99.4 99.2 98.2 98.5 40.65
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Xin Li, Xiangrong Li, Cheng Wang, Qiuliang Li, Zhuoyue Li. Aero-Engine Surface Defect Detection Model Based on Improved YOLOv5[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1615007
Paper Information
Category: Machine Vision
Received: Sep. 15, 2022
Accepted: Nov. 23, 2022
Published Online: Aug. 18, 2023
The Author Email: Xiangrong Li (lixiangrong0925@126.com)
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