煤矿安全2019，Vol.50Issue(1)：129-132,4.DOI:10.13347/j.cnki.mkaq.2019.01.032
基于维纳滤波的矿井监控图像的复原技术
Recovery Technology of Mine Monitoring Image Based on Wiener Filtering
摘要
Abstract
Combined with the actual characteristics of coal mine underground environment and the demand of coal mine monitoring image, this paper studies the theory of restoration theory of monitoring image in coal mine. We propose Wiener filtering restoration method for mine monitoring image, and use fuzzy evaluation algorithm based on secondary fuzzy to carry on evaluation. In this paper, MATLAB software is used to verify the restoration effect of monitoring images in fully mechanized coal mining face to obtain that the the coal mine fully mechanized face monitoring image recovery effect is best when the standard deviation of Gauss fuzzy is 0.6, Wiener filter SNR K is 0.055.关键词
矿井视频监控系统/监控图像/维纳滤波/二次模糊/复原图像/安全管理Key words
mine video monitoring system/monitoring image/Wiener filtering/secondary fuzzy/restored image/safety management分类
矿业与冶金引用本文复制引用
张立亚,孟庆勇,杨坤..基于维纳滤波的矿井监控图像的复原技术[J].煤矿安全,2019,50(1):129-132,4.基金项目
"十三五"国家重大专项资助项目(2016ZX05067004-004,2016ZX05043005-003) （2016ZX05067004-004,2016ZX05043005-003）
