Laser & Optoelectronics Progress, Volume. 57, Issue 12, 121009(2020)
Gear Defect Detection Based on the Improved YOLOv3 Network
Fig. 1. YOLOv3 network structure
Fig. 2. Improved network structure
Fig. 3. Loss function and IOU curves of train dataset of YOLOv3_Dense4 network
Fig. 4. Loss function and IOU curves of test dataset of YOLOv3_Dense4 network
Fig. 5. Defection results of defect gear. (a) Detection results of gears with different defects; (b) detection results of defect gears and flawless gears
Fig. 6. Detection results of gear defects under different light intensities. (a) 249.28 lx; (b) 321.61 lx; (c) 394.93 lx
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Guangshi Zhang, Guangying Ge, Ronghua Zhu, Qun Sun. Gear Defect Detection Based on the Improved YOLOv3 Network[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121009
Category: Image Processing
Received: Aug. 30, 2019
Accepted: Oct. 31, 2019
Published Online: Jun. 3, 2020
The Author Email: Ge Guangying (406381534@qq.com)