A mine image enhancement algorithm

WANG Xing; BAI Shangwang; PAN Lihu; CHEN Lichao

doi:10.13272/j.issn.1671-251x.2017.03.011

Gong-kuang zidonghua (Mar 2017)

A mine image enhancement algorithm

WANG Xing,
BAI Shangwang,
PAN Lihu,
CHEN Lichao

Affiliations

WANG Xing: Department of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China
BAI Shangwang: Department of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China
PAN Lihu
CHEN Lichao: Department of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China

DOI: https://doi.org/10.13272/j.issn.1671-251x.2017.03.011
Journal volume & issue: Vol. 43, no. 3
pp. 48 – 52

Abstract

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For poor images captured by coal mine video monitoring system with low contrast, uneven illumination and a lot of noise, a single scale Retinex algorithm based on simultaneous denoising of weighted guided filtering was proposed for underground image enhancement. Firstly, low-frequency components of an image are estimated by the weighted guided filter, which replaces Gaussian filter in single scale Retinex algorithm. Secondly, high-frequency components of the image are denoised by the weighted guided filter. Finally, an enhanced image is obtained through conversion from log domain to real field. The subjective visual effect and objective evaluation results show the algorithm has better visual effect and higher image processing speed than traditional image enhancement algorithms.

Published in Gong-kuang zidonghua

ISSN: 1671-251X (Print)
Publisher: Editorial Department of Industry and Mine Automation
Country of publisher: China
LCC subjects: Technology: Mining engineering. Metallurgy
Website: http://www.gkzdh.cn/en.htm

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