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Image contrast enhancement for outdoor machine vision applications

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...

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Main Authors: Abd Wahab, Mohd Helmy, Latip, Rohaya, Zakaria, Nasriah, Abdul Salam, Rosalina
Format: Conference or Workshop Item
Published: IEEE (IEEE Xplore) 2013
Online Access:http://psasir.upm.edu.my/id/eprint/41300/
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spelling my.upm.eprints.413002015-11-03T03:04:42Z http://psasir.upm.edu.my/id/eprint/41300/ Image contrast enhancement for outdoor machine vision applications Abd Wahab, Mohd Helmy Latip, Rohaya Zakaria, Nasriah Abdul Salam, Rosalina 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. IEEE (IEEE Xplore) 2013 Conference or Workshop Item NonPeerReviewed Abd Wahab, Mohd Helmy and Latip, Rohaya and Zakaria, Nasriah and Abdul Salam, Rosalina (2013) Image contrast enhancement for outdoor machine vision applications. In: 2013 International Conference of Soft Computing and Pattern Recognition (SoCPaR), 15-18 Dec. 2013, Hanoi, Vietnam. (pp. 377-383). 10.1109/SOCPAR.2013.7054162
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description 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.
format Conference or Workshop Item
author Abd Wahab, Mohd Helmy
Latip, Rohaya
Zakaria, Nasriah
Abdul Salam, Rosalina
spellingShingle Abd Wahab, Mohd Helmy
Latip, Rohaya
Zakaria, Nasriah
Abdul Salam, Rosalina
Image contrast enhancement for outdoor machine vision applications
author_facet Abd Wahab, Mohd Helmy
Latip, Rohaya
Zakaria, Nasriah
Abdul Salam, Rosalina
author_sort Abd Wahab, Mohd Helmy
title Image contrast enhancement for outdoor machine vision applications
title_short Image contrast enhancement for outdoor machine vision applications
title_full Image contrast enhancement for outdoor machine vision applications
title_fullStr Image contrast enhancement for outdoor machine vision applications
title_full_unstemmed Image contrast enhancement for outdoor machine vision applications
title_sort image contrast enhancement for outdoor machine vision applications
publisher IEEE (IEEE Xplore)
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/41300/
_version_ 1643832958323261440
score 13.211869

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