Zhongxing Duan, Yuming Zhang, Jiahao Ma. Infrared Image Recognition of Power Equipment Using Improved YOLOv4[J]. Laser & Optoelectronics Progress, 2022, 59(24): 2410002
- Laser & Optoelectronics Progress
- Vol. 59, Issue 24, 2410002 (2022)
Fig. 1. Original infrared images
Fig. 2. Images enhanced by MSRCR
Fig. 3. YOLOv4 network structure
Fig. 4. Multi-scale convolution module
Fig. 5. Infrared images of power equipment. (a) Easy to classify sample; (b) difficult to classify sample
Fig. 6. Data annotation process
Fig. 7. Loss decline curve
Fig. 8. Infrared image recognition result of the proposed method for power equipments
|
Table 1. Parameter value of MSRCR algorithm
|
Table 2. Number of devices on infrared image dataset
|
Table 3. Test results of the proposed method on different power equipments
| ||||||||||||||||||||||||||||||||||
Table 4. Performance comparison of different methods
|
Table 5. Comparison of experimental accuracy under different parameters of Focal loss
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20