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International Conference on Scale-Space Theories in Computer Vision

Scale-Space 1997: Scale-Space Theory in Computer Vision pp 337–340Cite as

Multi-scale active shape description

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1252))

Abstract

A multi-scale shape description tool based on active contour models has been developed, allowing to regularize and describe shape changes across scales. The internal energy of this spline-based model depends on analytic shape forces, and the external energy incorporates geometric image features like the image gradient and isophote curvature. Results of applying this technique to artificial images with known shapes are presented, and the application to medical imaging in clinical neurology is discussed.

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References

  1. B.M. ter Haar Romeny, editor. Geometry-Driven Diffusion in Computer Vision, Computational Imaging and Vision. Kluwer Academic Publishers, 1994.

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  4. B.M. ter Haar Romeny, L.M.J. Florack, J. J. Koenderink, and M. A. Viergever. Scale-space: Its natural operators and differential invariants. In A.C.F. Colchester and D.J. Hawkes, editors, Information Processing in Medical Imaging, volume 511 of Lecture Notes in Computer Science, pages 239–255. Springer-Verlag, 1991.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University College London, Gower Street, WC1E 6BT, London

    Julia A. Schnabel & Simon R. Arridge

Authors
  1. Julia A. Schnabel
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  2. Simon R. Arridge
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Editor information

Bart ter Haar Romeny Luc Florack Jan Koenderink Max Viergever

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© 1997 Springer-Verlag Berlin Heidelberg

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Schnabel, J.A., Arridge, S.R. (1997). Multi-scale active shape description. In: ter Haar Romeny, B., Florack, L., Koenderink, J., Viergever, M. (eds) Scale-Space Theory in Computer Vision. Scale-Space 1997. Lecture Notes in Computer Science, vol 1252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63167-4_66

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  • DOI: https://doi.org/10.1007/3-540-63167-4_66

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63167-5

  • Online ISBN: 978-3-540-69196-9

  • eBook Packages: Springer Book Archive

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