Skip to main content

Improving snake performance via a dual active contour

  • Posters
  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 970))

Abstract

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.

This is a preview of subscription content, log in via an institution.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  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. S. R. Gunn and M. S. Nixon. A Dual Active Contour. BMVC 94, September, York, U.K, 305–314, 1994.

    Google Scholar 

  3. M. Kass, A. Witkin and D. Terzopoulos. Snakes: Active Contour Models. International Journal of Computer Vision, 1:321–331, 1988.

    Google Scholar 

  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. 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. G. Xu, E. Segawa, S. Tsuji. Robust Active Contours with Insensitive Parameters. Pattern Recognition, 27(7):879–884, 1994.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Václav Hlaváč Radim Šára

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gunn, S.R., Nixon, M.S. (1995). Improving snake performance via a dual active contour. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_351

Download citation

  • DOI: https://doi.org/10.1007/3-540-60268-2_351

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60268-2

  • Online ISBN: 978-3-540-44781-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics