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Geometry Motivated Variational Segmentation for Color Images

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Book cover Scale-Space and Morphology in Computer Vision (Scale-Space 2001)

Part of the book series: Lecture Notes in Computer Science 2106 ((LNCS,volume 2106))

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Abstract

We propose image enhancement, edge detection, and segmentation models for the multi-channel case, motivated by the philosophy of processing images as surfaces, and generalizing the Mumford-Shah functional. Refer to http://www.cs.technion.ac.il/~sova/canada01/ for color ?gures.

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Author information

Authors and Affiliations

  1. Dept. of Mathematics, Technion, Israel

    Alexander Brook

  2. Dept. of Computer Science, Technion, Israel

    Ron Kimmel

  3. Dept. of Applied Mathematics, Tel-Aviv University, Israel

    Nir A. Sochen

Authors
  1. Alexander Brook
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  2. Ron Kimmel
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  3. Nir A. Sochen
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Editor information

Editors and Affiliations

  1. Dept. of Mathematics & Computer Science, University of Richmond, Richmond, VA, 23173, USA

    Michael Kerckhove

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© 2001 Springer-Verlag Berlin Heidelberg

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Brook, A., Kimmel, R., Sochen, N.A. (2001). Geometry Motivated Variational Segmentation for Color Images. In: Kerckhove, M. (eds) Scale-Space and Morphology in Computer Vision. Scale-Space 2001. Lecture Notes in Computer Science 2106, vol 2106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47778-0_34

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  • DOI: https://doi.org/10.1007/3-540-47778-0_34

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42317-1

  • Online ISBN: 978-3-540-47778-5

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