Laser & Optoelectronics Progress, Volume. 62, Issue 16, 1624001(2025)
Dust Density Detection Method for Photovoltaic Module Surface Based on Image Dark Channel Prior
Fig. 2. Transmission process of light on the dusty surface of photovoltaic module[25]
Fig. 8. Images before and after distortion correction. (a) Before distortion correction; (b) after distortion correction
Fig. 12. Calculation process of transmittance image. (a) Region of interest; (b) bright channel image; (c) dark channel image; (d) transmittance image
Fig. 16. Relationship between dust density and transmittance at different incident angles. (a) 10°; (b) 20°; (c) 30°; (d) 40°; (e) 50°; (f) 60°; (g) 70°
Fig. 17. Transmittance of different dust densities at different observation angles
Fig. 18. Relationship between dust density and transmittance at different observation angles. (a) 10°; (b) 20°; (c) 30°; (d) 40°; (e) 50°; (f) 60°; (g) 70°
Fig. 19. Sample displays under partial dust densities. (a) 27.35 g/m²; (b) 44.12 g/m²; (c) 52.80 g/m²
Fig. 20. Fitting images of transmittance under two solar altitude angles. (a) 40.83°; (b) 50.49°
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Fangbin Wang, Hualin Mao, Xue Gong, Darong Zhu, Weisong Zhao, Ping Wang. Dust Density Detection Method for Photovoltaic Module Surface Based on Image Dark Channel Prior[J]. Laser & Optoelectronics Progress, 2025, 62(16): 1624001
Category: Optics at Surfaces
Received: Feb. 5, 2025
Accepted: Mar. 14, 2025
Published Online: Aug. 6, 2025
The Author Email: Fangbin Wang (wangfb@ahjzu.edu.cn)
CSTR:32186.14.LOP250598