DocumentCode :
1933270
Title :
Image contrast enhancement for outdoor machine vision applications
Author :
Abd Wahab, Mohd Helmy ; Zakaria, Nasriah ; Latip, Rohaya ; Salam, Rosalina Abdul
Author_Institution :
Artificial Intell. & Comput. Vision Group, Univ. Tun Hussein Onn Malaysia, Batu Pahat, Malaysia
fYear :
2013
fDate :
15-18 Dec. 2013
Firstpage :
377
Lastpage :
383
Abstract :
Outdoor machine vision is getting a concern nowadays. Ranging from surveillance and monitoring system to automotive system such as driver assistance system require vision application or artificial eye to keep monitoring the situations. However, most of these applications works very well during clear weather and degrade during bad weather due to the atmospheric particles mitigate the quality of vision system. This paper discuss the state of the art of image enhancement techniques used to adjust the contrast of an outdoor image degrade by fog, haze, and rain. A brief overview of bad weather will be discussed and several recent techniques on removing fog, haze and rain are discussed.
Keywords :
computer vision; image enhancement; artificial eye; atmospheric particles; automotive system; bad weather; driver assistance system; fog removal; haze removal; image contrast enhancement; monitoring system; outdoor machine vision applications; rain removal; situation monitoring; surveillance system; Computer vision; Image color analysis; Image enhancement; Machine vision; Rain; bad weather; fog; haze; image enhancement; machine vision; rain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2013 International Conference of
Conference_Location :
Hanoi
Print_ISBN :
978-1-4799-3399-0
Type :
conf
DOI :
10.1109/SOCPAR.2013.7054162
Filename :
7054162
Link To Document :
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