Study of Image Enhancement Algorithms in Coal Mine

被引:4
作者
Chat Yu [1 ]
Gao Rui [2 ]
Deng Li-jie
机构
[1] Xian Univ Sci & Technol, Xian 710054, Peoples R China
[2] Xian Univ Sci & Technol, Coll Elect & Control Engn, Xian 710054, Peoples R China
来源
2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 2 | 2016年
关键词
uneven illumination; image enhancement; spatial statistical properties; quality evaluation; CONTRAST ENHANCEMENT;
D O I
10.1109/IHMSC.2016.237
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
For the problem of uneven illumination of the image in the underground of coal mine, we have carried on the deep research to the common several kinds of enhancement theory, which can improve the visual effect of the uneven illumination image. Then, we analyzed the relative parameters of spatial statistical properties of gray scale images. At last, we make an objective evaluation of the image quality. The theory analyses and experiments show that the method of histogram equalization image enhancement can achieve satisfactory results in dealing with the contrast of the image is not very low or intensity distribution is relatively dense.
引用
收藏
页码:383 / 386
页数:4
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