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. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Wagner, B., Dinges, A., Müller, P., & Haase, G. (2009). Parallel volume image segmentation with watershed transformation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5575 LNCS, pp. 420–429). https://doi.org/10.1007/978-3-642-02230-2_43
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