DocumentCode :
2808192
Title :
A Method for Improving the Definition of Scene in Fog Image
Author :
Yang Wei ; Xiao Zhitao ; Wang Qingjie ; Liu Xuan
Author_Institution :
Sch. of Inf. & Commun. Eng., Tianjin Polytech. Univ., Tianjin, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
As the atmospheric degradation of the fog image is low contrast and the blurred scene, which has serious impact on the transport system and the application of outdoor vision systems. In order to deal with the details information of fog image, a method for improving image definition based on image segmentation and image enhancement technologies is presented. First of all, in accordance with the characteristics of the grayscale distribution of images, the method finds the non-sky region using regional growth method, and then only in this region POSHE algorithm is used to improve the definition of scene in fog image. The experimental results show that the method can effectively improve the image of degradation in fog and improve image definition.
Keywords :
image enhancement; image restoration; image segmentation; POSHE algorithm; atmospheric degradation; fog image; grayscale distribution; image definition; image enhancement; image segmentation; outdoor vision systems; transport system; Application software; Degradation; Histograms; Image enhancement; Image processing; Image quality; Image restoration; Image segmentation; Layout; Machine vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5362842
Filename :
5362842
Link To Document :
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