The Enhancement for Foggy Traffic Image Based on EM Algorithm

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...

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Bibliographic Details
Published in2009 International Conference on Computational Intelligence and Natural Computing : 6-7 June 2009 Vol. 2; pp. 261 - 264
Main Authors Chen Xianqiao, Wu Qing, Yan Xinping, Chu Xiuming
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Computational intelligence
Computer vision
EM algorithm
Foggy image
Humans
Illuminations
Image enhancement
Laser radar
Lighting
Machine vision
Reflectivity
Safety
Testing
Traffic control
Online AccessGet full text
ISBN9780769536453
076953645X
DOI10.1109/CINC.2009.122

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Summary: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.
ISBN:9780769536453
076953645X
DOI:10.1109/CINC.2009.122