Publication:
Image Contrast Enhancement for Outdoor Machine Vision Applications

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dc.ConferencedateDEC 15-18, 2013-2015
dc.ConferencelocationHanoi, VIETNAM
dc.ConferencenameInternational Conference of Soft Computing and Pattern Recognition (SoCPaR)
dc.contributor.authorAbd Wahab, MHen_US
dc.contributor.authorLatip, Ren_US
dc.contributor.authorZakaria, Nen_US
dc.contributor.authorSalam, RAen_US
dc.date.accessioned2024-05-29T02:50:59Z
dc.date.available2024-05-29T02:50:59Z
dc.date.issued2013
dc.description.abstractOutdoor 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.
dc.identifier.epage383
dc.identifier.scopusWOS:000380467000064
dc.identifier.spage377
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11139
dc.languageEnglish
dc.language.isoen_US
dc.publisherIEEEen_US
dc.relation.ispartof2013 International Conference Of Soft Computing And Pattern Recognition (Socpar)
dc.sourceWeb Of Science (ISI)
dc.subjectbad weatheren_US
dc.subjectrainen_US
dc.subjectfogen_US
dc.subjecthazeen_US
dc.subjectmachine visionen_US
dc.subjectimage enhancementen_US
dc.titleImage Contrast Enhancement for Outdoor Machine Vision Applications
dc.typeProceedings Paperen_US
dspace.entity.typePublication

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