• DocumentCode
    2938771
  • Title

    Unified approach to snakes, elastic nets and Kohonen maps

  • Author

    Abruntes, A.J. ; Marques, Jorge S.

  • Author_Institution
    INESC, Polytech. Inst. of Lisbon, Portugal
  • Volume
    5
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    3427
  • Abstract
    Snakes, elastic nets and Kohonen networks are well known algorithms which were developed in different contexts. However, these algorithms share common features allowing one to ask what is the relationship among them and suggesting their use in problems which have traditionally been tackled by only one of them. The paper addresses the problem of edge linking and proposes a new class of nonlinear recursive algorithms, based on a general cost function, which includes snakes, Kohonen maps, and elastic nets as special cases. This class provides an unified framework for several existing algorithms in pattern recognition and active contours and allows the design of new recursive schemes
  • Keywords
    edge detection; image classification; recursive functions; self-organising feature maps; Kohonen maps; active contours; edge linking; elastic nets; general cost function; nonlinear recursive algorithms; pattern recognition; recursive schemes; snakes; unified framework; Active contours; Algorithm design and analysis; Clustering algorithms; Computer vision; Cost function; Image edge detection; Joining processes; Neural networks; Self organizing feature maps; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.479722
  • Filename
    479722