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Fast Geodesic Active Contours

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Scale-Space Theories in Computer Vision (Scale-Space 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1682))

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Abstract

We use an unconditionally stable numerical scheme to im- plement a fast version of the geodesic active contour model. The proposed scheme is useful for object segmentation in images, like tracking moving objects in a sequence of images. The method is based on the Weickert- Romeney-Viergever [33] AOS scheme. It is applied at small regions, mo- tivated by Adalsteinsson-Sethian [1] level set narrow band approach, and uses Sethian’s fast marching method [26] for re-initialization. Experimen- tal results demonstrate the power of the new method for tracking in color movies.

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Author information

Authors and Affiliations

  1. Computer Science Department, Technion—Israel Institute of Technology, Technion City, Haifa 32000, ISRAEL

    Roman Goldenberg, Ron Kimmel, Ehud Rivlin & Michael Rudzsky

Authors
  1. Roman Goldenberg
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  2. Ron Kimmel
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  3. Ehud Rivlin
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  4. Michael Rudzsky
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Editor information

Editors and Affiliations

  1. The IT University in Copenhagen, Glentevej 67, DK-2400, Copenhagen NV, Denmark

    Mads Nielsen

  2. Department of Computer Science, University of Copenhagen, Universitetsparken 1, DK-2100, Copenhagen OE, Denmark

    Peter Johansen  & Ole Fogh Olsen  & 

  3. Department of Mathematics and Computer Science, University of Mannheim, D-68131, Mannheim, Germany

    Joachim Weickert

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© 1999 Springer-Verlag Berlin Heidelberg

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Goldenberg, R., Kimmel, R., Rivlin, E., Rudzsky, M. (1999). Fast Geodesic Active Contours. In: Nielsen, M., Johansen, P., Olsen, O.F., Weickert, J. (eds) Scale-Space Theories in Computer Vision. Scale-Space 1999. Lecture Notes in Computer Science, vol 1682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48236-9_4

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  • DOI: https://doi.org/10.1007/3-540-48236-9_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66498-7

  • Online ISBN: 978-3-540-48236-9

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