• DocumentCode
    714429
  • Title

    An MRF framework for co-solving image segmentation and border ownership

  • Author

    Karadag, Ozge Oztimur ; Akkus, Mehmet Akif ; kalkan, Sinan ; Yarman Vural, Fatos T.

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Akdeniz Univ., Antalya, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    839
  • Lastpage
    842
  • Abstract
    Image segmentation and border ownership assignment are two widely studied areas in the computer vision literature. It is well known that both the segmentation and the border ownership assignment play an important role in the visual perception. In this study, a Markov Random Fields model which provides a dual solution for the segmentation and the border ownership assignment is proposed. The proposed system is analyzed both quantitatively and qualitatively.
  • Keywords
    Markov processes; computer vision; image segmentation; MRF framework; Markov random fields framework; border ownership assignment; computer vision literature; image segmentation; visual perception; Computational modeling; Computer science; Computer vision; Conferences; Image segmentation; Markov random fields; Markov Random Fields; border ownership; image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7129959
  • Filename
    7129959
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=714429