• DocumentCode
    3387481
  • Title

    An improved graph-based image segmentation algorithm

  • Author

    Huang Jinghua ; Zhang Jingzun ; Wang Yujian

  • Author_Institution
    Inf. Sch., Beijing Union Univ., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    28-29 Nov. 2009
  • Firstpage
    228
  • Lastpage
    231
  • Abstract
    This paper proposes an efficient representation framework for image segmentation based on perceptual organization. Specifically, a new hierarchy of image representation with three levels is presented. In a bottom-up way, the framework transforms representation between the three levels, and takes the advantages of different organization techniques. A region-based organization approach is developed in the framework for image segmentation. The approach improves previous organization techniques, and makes image segmentation results globally optimum and greedily efficient. The experimental results have proved the effectiveness and efficiency of the image representation framework.
  • Keywords
    image representation; image segmentation; framework transforms representation; image representation; image segmentation; perceptual organization; Computational intelligence; Computer industry; Electronics industry; Humans; Image representation; Image segmentation; Industrial electronics; Mining industry; NP-hard problem; Pixel; Image classification; Image representation; Image segmentation; Representation Framework;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4606-3
  • Type

    conf

  • DOI
    10.1109/PACIIA.2009.5406643
  • Filename
    5406643