• DocumentCode
    2526200
  • Title

    Object Decomposition based on Superellipses

  • Author

    Hu, Wu-Chih

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Penghu Univ.
  • Volume
    3
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    333
  • Lastpage
    336
  • Abstract
    Superellipse is a flexible primitive and it can represent a large variety of shapes. Hence, this paper presents a superellipse decomposition of object contours. In the proposed method, part segmentation algorithm based on breakpoint types is used to obtain the convex parts of object contours. These convex parts are isolated and fitted by using superellipses. Tests show that the proposed method has a number of interesting properties including being scale/rotation/translation invariant, threshold-free, and efficient
  • Keywords
    curve fitting; image segmentation; object detection; pattern classification; breakpoint classification; contour-based part segmentation algorithm; object decomposition; superellipse fitting; Application software; Computer science; Computer vision; Feature extraction; Fitting; Humans; Partitioning algorithms; Pattern recognition; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.484
  • Filename
    1692182