Improved threshold recognition of the coal and the gangue by using x-ray image

Wu Shuai

doi:10.1117/12.2606877

28 October 2021 Improved threshold recognition of the coal and the gangue by using x-ray image

Wu Shuai

Proceedings Volume 11884, International Symposium on Artificial Intelligence and Robotics 2021; 118841R (2021) https://doi.org/10.1117/12.2606877
Event: International Symposium on Artificial Intelligence and Robotics 2021, 2021, Fukuoka, Japan

Abstract

The traditional coal preparation methods include the jigging coal preparation, the dry coal preparation, and the γ- ray coal preparation. Although these methods achieve the function of the coal preparation, they have some problems such as the low accuracy, the high cost, the long time-consuming, and the great health hazard. Aiming at these problems, a improved threshold recognition method is developed by using the x-ray image. First, the images of the coal and the gangue is obtained by using x-ray scanner, and then the gray values is obtained. Second, the thickness of the coal and the gangue is calculated. Third, the gray value and the thickness information of the coal and the gangue are combined, and the separation threshold is determined. Finally, the recognition of the coal and the gangue is realized. The experimental results show that the recognition accuracy can reach about 98%.

Citation Download Citation

Wu Shuai "Improved threshold recognition of the coal and the gangue by using x-ray image", Proc. SPIE 11884, International Symposium on Artificial Intelligence and Robotics 2021, 118841R (28 October 2021); https://doi.org/10.1117/12.2606877

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