Acta Optica Sinica, Volume. 40, Issue 24, 2411001(2020)
Coal Gangue Detection Based on Multi-Spectral Imaging and Improved YOLO v4
Fig. 1. System of multi-spectral data acquisition
Fig. 2. Multi-spectral image of coal and coal gangue
Fig. 3. Structures of YOLO and YOLO v3 models
Fig. 4. Schematic diagram of YOLO v4.1
Fig. 5. Average recognition accuracy in different bands. (a) Two classes of coal and coal gangue; (b) three classes of coal, coal gangue, and mix
Fig. 6. Confusion matrix of correlation coefficients
Fig. 7. Test results. (a) Coal416; (b) coal512; (c) coal608; (d) coal408; (e) coal gangue416; (f) coal gangue512; (g) coal gangue608; (h) coal gangue408
Fig. 8. Detection result of YOLO v4.1
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Wenhao Lai, Mengran Zhou, Feng Hu, Kai Bian, Hongping Song. Coal Gangue Detection Based on Multi-Spectral Imaging and Improved YOLO v4[J]. Acta Optica Sinica, 2020, 40(24): 2411001
Category: Imaging Systems
Received: Jun. 28, 2020
Accepted: Sep. 8, 2020
Published Online: Nov. 23, 2020
The Author Email: Zhou Mengran (mrzhou8521@163.com)