Fog Removal Method of Slope Monitoring Image Based On Vision Detection

被引:0
|
作者
Sang, Xianzhen [1 ,2 ]
Yang, Yue [1 ,2 ]
Hou, Xianhe [1 ,2 ]
机构
[1] China Univ Geosci, Sch Automat, Wuhan 430070, Hubei, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430070, Hubei, Peoples R China
关键词
Slope monitoring; Image processing; Dark Channel Prior; Bilateral filtering;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the slope monitoring based on image detection, the main work is to process the acquired slope image. The landslide occurred mostly in the rain, fog and other complex weather conditions. If we can process effectively and fast fog images according to the fog horizon slope vision images. It would be helpful for subsequent image segmentation, object extraction, positioning, and improving the accuracy and efficiency of detection of slope deformation. Based on the visual technology in slope monitoring, we compared two kinds of defogging algorithm of slope images. One is a kind of image enhancement method of non-physical model, mainly including: equalization algorithm and homomorphic filtering algorithm, McCann Retinex algorithm and multi-scale Retinex algorithm and a global histogram. The other is the image restoration method based on physical model, including the dark channel prior bilateral filtering algorithm, and combined with the theory of dark channel prior to fog algorithm. The experimental results show that the histogram equalization method has the advantage of fast imaging quality in slope visual image processing, and is more suitable for slope monitoring.
引用
收藏
页码:9422 / 9427
页数:6
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