2009 | OriginalPaper | Chapter
Parallel Volume Image Segmentation with Watershed Transformation
Authors : Björn Wagner, Andreas Dinges, Paul Müller, Gundolf Haase
Published in: Image Analysis
Publisher: Springer Berlin Heidelberg
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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.