• DocumentCode
    1839995
  • Title

    Loop snakes: snakes with enhanced topology control

  • Author

    Oliveira, A. ; Ribeiro, S. ; Farias, Ricardo ; Esperanca, Claudio

  • Author_Institution
    Dept. of Syst. Eng.: & Comput. Sci., Univ. Fed. do Rio de Janeiro, Brazil
  • fYear
    2004
  • fDate
    17-20 Oct. 2004
  • Firstpage
    364
  • Lastpage
    371
  • Abstract
    Topologically adaptable snakes, or simply T-snakes, are a standard tool for automatically identifying multiple segments in an image. This work introduces a novel approach for controlling the topology of a T-snake. It focuses on the loops formed by the so-called projected curve which is obtained at every stage of the snake evolution. The idea is to make that curve the image of a piecewise linear mapping of an adequate class. Then, with the help of an additional structure - the loop-tree - it is possible to decide in O(1) time whether the region enclosed by each loop has already been explored by the snake. This makes it possible to construct an enhanced algorithm for evolving T-snakes whose performance is assessed by means of statistics and examples.
  • Keywords
    image segmentation; piecewise linear techniques; statistical analysis; topology; tree data structures; T-snakes; automatic identification; enhanced topology control; loop snakes; loop tree; multiple image segments; performance; piecewise linear mapping; projected curve; snake evolution; statistics; time complexity; topologically adaptable snakes; Active contours; Automatic control; Electron microscopy; Image segmentation; Piecewise linear techniques; Rendering (computer graphics); Scientific computing; Statistics; Systems engineering and theory; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics and Image Processing, 2004. Proceedings. 17th Brazilian Symposium on
  • ISSN
    1530-1834
  • Print_ISBN
    0-7695-2227-0
  • Type

    conf

  • DOI
    10.1109/SIBGRA.2004.1352982
  • Filename
    1352982