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Geometry Motivated Variational Segmentation for Color Images

  • Alexander Brook
  • Ron Kimmel
  • Nir A. Sochen
Conference paper
Part of the Lecture Notes in Computer Science 2106 book series (LNCS, volume 2106)

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.

Keywords

Color Image Lower Semicontinuity Jump Point Elliptic Approximation Numerical Minimization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Alexander Brook
    • 1
  • Ron Kimmel
    • 2
  • Nir A. Sochen
    • 3
  1. 1.Dept. of MathematicsTechnionIsrael
  2. 2.Dept. of Computer ScienceTechnionIsrael
  3. 3.Dept. of Applied MathematicsTel-Aviv UniversityIsrael

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