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
Link To Document :
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