• DocumentCode
    2428195
  • Title

    Analysis on Image Symmetry Detection Algorithms

  • Author

    Xiao, ZhiTao ; Wu, Jun

  • Author_Institution
    Tianjin Polytech. Univ., Tianjin
  • Volume
    4
  • fYear
    2007
  • fDate
    24-27 Aug. 2007
  • Firstpage
    745
  • Lastpage
    750
  • Abstract
    Symmetry exists widely in the real world and plays a remarkable role in perception problems. Fast and effective symmetry detection is still a difficult problem in computer vision. Typical image symmetry detectors are analyzed. From the viewpoint of information used, the literatures on image symmetry detection are analyzed systematically. And symmetry detectors can be categorized to two kinds, that is, gradient-based ones and phase-based ones. Characteristics of each kind are discussed. The key issues of the important symmetry detectors are explained extensively and comprehensively. Based on the survey, some open issues, which needed to be researched further, are presented, and the future research trends are also given.
  • Keywords
    computer vision; image recognition; symmetry; computer vision; gradient-based category; image symmetry detection algorithms; phase-based category; Algorithm design and analysis; Computer vision; Detection algorithms; Detectors; Histograms; Image analysis; Information analysis; Mirrors; Phase detection; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2874-8
  • Type

    conf

  • DOI
    10.1109/FSKD.2007.173
  • Filename
    4406487