DocumentCode
3263442
Title
The Enhancement for Foggy Traffic Image Based on EM Algorithm
Author
Xianqiao, Chen ; Qing, Wu ; Xinping, Yan ; Xiumin, Chu
Author_Institution
Sch. of Comp., Wuhan Univ. of Tech., Wuhan, China
Volume
2
fYear
2009
fDate
6-7 June 2009
Firstpage
261
Lastpage
264
Abstract
In bad weather, such as foggy, the vision become poor, and this often induce many problems for traffic safety. So it is a hot research subject how to improve the vision ability for bad weather in traffic, and there are many achievements have been made. Among these the single scale Retinex algorithm is a common used method, which was proposed by Land. According this theory, any obtained image can be divided into two images: illumination image and object reflected image. If the illumination can be estimated accurately, the high quality enhanced image (reflected image) will be obtained easily. In this paper, one efficient method (EFTI-EM) for illumination was proposed, which is used to estimate the illumination by using sky area in a foggy traffic image and to get sky area is based on EM algorithm. By setting a considerable number of tests, satisfactory results have been achieved.
Keywords
expectation-maximisation algorithm; image enhancement; road safety; road traffic; traffic engineering computing; EM algorithm; bad weather; foggy traffic image enahancement; illumination image; object reflected image; single scale Retinex algorithm; sky area; traffic safety; Computational intelligence; Computer vision; Humans; Laser radar; Lighting; Machine vision; Reflectivity; Safety; Testing; Traffic control; EM algorithm; Foggy image; Illuminations; Image enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3645-3
Type
conf
DOI
10.1109/CINC.2009.122
Filename
5230973
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