计算机工程与应用2018，Vol.54Issue(6)：26-29,4.DOI:10.3778/j.issn.1002-8331.1710-0012
基于模糊聚类规则的图像去雾方法研究
Research on image dehazing method based on fuzzy cluster
摘要
Abstract
The image restoration has become an active topic in machine vision. This paper presents a novel dehazing method based on fuzzy clustering rules for restoring the image degraded by fog.The fuzzy clustering method is used to preprocess the image degraded by fog or haze to obtain the transmission parameters in the process of restoration. The transmission map and the saturation image are fused by multi-scale pyramid thinning strategy for the image depth informa-tion.Finally,the image is recovered by extracting the transmission and the image depth information.The experimental results show that the method can effectively remove the fog information in the image and the algorithm has a higher com-puting speed.关键词
图像去雾/模糊聚类/透射率/机器视觉Key words
image dehazing/fuzzy cluster/transmission/machine vision分类
信息技术与安全科学引用本文复制引用
姚明海,齐妙..基于模糊聚类规则的图像去雾方法研究[J].计算机工程与应用,2018,54(6):26-29,4.基金项目
辽宁省博士科研启动基金(No.201601349) （No.201601349）
辽宁省教育厅科学技术青年项目(No.LQ2017004). （No.LQ2017004）
