Improving snake performance via a dual active contour

  • Steve R. Gunn
  • Mark S. Nixon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 970)


A dual active contour can use two snakes to seek an energy minimum which lies between their initial positions. This relieves problems associated with initialisation. The contraction force is removed by the inclusion of local shape information within the snakes and the parameters required to control their evolution can be combined within a single regularisation parameter. An adaptive driving force is used to move the snakes which reduces the sensitivity to parameters. These developments are demonstrated to provide a performance superior to that of a conventional single snake approach.


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  1. [1]
    L. D. Cohen and I. Cohen. Finite-Element Methods for Active Contour Models and Balloons for 2D and 3D Images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(11):1131–1147, 1993.Google Scholar
  2. [2]
    S. R. Gunn and M. S. Nixon. A Dual Active Contour. BMVC 94, September, York, U.K, 305–314, 1994.Google Scholar
  3. [3]
    M. Kass, A. Witkin and D. Terzopoulos. Snakes: Active Contour Models. International Journal of Computer Vision, 1:321–331, 1988.Google Scholar
  4. [4]
    K. F. Lai and R. T. Chin. On Regularization, Formulation and Initialisation of the Active Contour Model (Snakes). Proc. 1st Asian Conf. on Computer Vision, 542–545, 1994.Google Scholar
  5. [5]
    D. J. Williams and M. Shah. A Fast Algorithm for Active Contours and Curvature Estimation. CVGIP: Image Understanding, 55(1):14–26, 1992.Google Scholar
  6. [6]
    G. Xu, E. Segawa, S. Tsuji. Robust Active Contours with Insensitive Parameters. Pattern Recognition, 27(7):879–884, 1994.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Steve R. Gunn
    • 1
  • Mark S. Nixon
    • 1
  1. 1.Dept. of Electronics and Computer ScienceUniversity of SouthamptonUK

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