• 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