• DocumentCode
    842287
  • Title

    Shape Orientation Pattern

  • Author

    Venkatraghavan, Vikram ; Agarwal, Maruti ; Roy, Ajoy K.

  • Author_Institution
    Electron. & Commun. Eng. Dept., Nat. Inst. of Technol., Trichy, India
  • Volume
    16
  • Issue
    8
  • fYear
    2009
  • Firstpage
    711
  • Lastpage
    714
  • Abstract
    Due to the variety of shapes as well as the diversity of applications there does not exist any single method for computing the shape orientation of all shapes. In this paper, we introduce a new shape orientation measure, shape orientation pattern, to find the crisp and fuzzy shape orientation as well as shape orientability from any shape. We also illustrate that the new shape orientation measure can be used as a RST invariant shape descriptor.
  • Keywords
    computational geometry; computer vision; fuzzy set theory; image recognition; shape recognition; RST invariant shape descriptor; computer vision; fuzzy shape orientation; image processing; rotation-scale-translation invariant shape descriptor; shape orientation pattern recognition; Orientability; RST invariant descriptor; orientation; shape orientation pattern;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2009.2022567
  • Filename
    4912513
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=842287