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PISA—Parallel Image Segmentation Algorithms

Alina Lindner, Andreas Bieniek and Hans Burkhardt
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Alina Lindner: Albert-Ludwigs-Universität Freiburg, Institut für Informatik
Andreas Bieniek: Albert-Ludwigs-Universität Freiburg, Institut für Informatik
Hans Burkhardt: Albert-Ludwigs-Universität Freiburg, Institut für Informatik

A chapter in High Performance Computing in Science and Engineering ’98, 1999, pp 410-419 from Springer

Abstract: Abstract Parallelisation of the watershed segmentation method is studied in this paper. Starting with a successful parallel watershed design solution, extensive tests on various parallel machines are presented to prove its portability and performance. Next, the watershed algorithm has been re-formulated as a modified connected component problem. Consequently, we present a scalable parallel implementation of the connected component problem, which is the key for the future improving of the parallel design for the watershed algorithm.

Keywords: Parallel Algorithm; Parallel Machine; Watershed Algorithm; Connected Component Label; Image Segmentation Technique (search for similar items in EconPapers)
Date: 1999
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-58600-2_39

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DOI: 10.1007/978-3-642-58600-2_39

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