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Parallel Volume Image Segmentation with Watershed Transformation

  • Björn Wagner
  • Andreas Dinges
  • Paul Müller
  • Gundolf Haase
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5575)

Abstract

We present a novel approach to parallel image segmentation of volume images on shared memory computer systems with watershed transformation by immersion. We use the domain decomposition method to break the sequential algorithm in multiple threads for parallel computation. The use of a chromatic ordering allows us to gain a correct segmentation without an examination of adjacent domains or a final relabeling. We will briefly discuss our approach and display results and speedup measurements of our implementation.

Keywords

Segmentation Result Sequential Algorithm Metal Foam Domain Decomposition Method Watershed Algorithm 
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 2009

Authors and Affiliations

  • Björn Wagner
    • 1
  • Andreas Dinges
    • 1
  • Paul Müller
    • 2
  • Gundolf Haase
    • 3
  1. 1.Fraunhofer ITWMKaiserslauternGermany
  2. 2.University KaiserslauternKaiserslauternGermany
  3. 3.Karl-Franzens University GrazGrazAustria

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