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

被引:2
作者
Wu, Shuai [1 ]
机构
[1] Xian Univ Sci & Technol, Xian 710054, Peoples R China
来源
INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND ROBOTICS 2021 | 2021年 / 11884卷
关键词
Recognition; X-ray; Image; Gray value; Gangue; IDENTIFICATION;
D O I
10.1117/12.2606877
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The traditional coal preparation methods include the jigging coal preparation, the dry coal preparation, and the gamma - 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%.
引用
收藏
页数:6
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