Paper
7 March 2022 Research on coal gangue separation method based on dual energy x-ray image technology
Dong Li, Xuan Huang, Huasheng Ni, Wudi Tang
Author Affiliations +
Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 1216704 (2022) https://doi.org/10.1117/12.2628771
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China
Abstract
Aiming at the problems of small separation range and low separation rate in the intelligent separation of coal and gangue, a threshold separation method based on dual-energy X-ray technology is proposed. Low-energy original image, use ratio method to obtain R-value image, integrate R-value image and low-energy image information to fit the R-L curve of coal and gangue, count characteristic values and draw sample distribution maps, calculate the sorting threshold of coal and gangue, and realize coal and the sorting of gangue. The experimental results show that the threshold sorting algorithm is more effective in improving large-size materials than the traditional R-value recognition algorithm and R-L curve fitting algorithm, and the recognition rate of 150-300mm materials is as high as 96.99% and 92.32%.
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Dong Li, Xuan Huang, Huasheng Ni, and Wudi Tang "Research on coal gangue separation method based on dual energy x-ray image technology", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 1216704 (7 March 2022); https://doi.org/10.1117/12.2628771
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KEYWORDS
Detection and tracking algorithms

X-rays

X-ray imaging

X-ray technology

Dual energy imaging

Signal attenuation

Sensors

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