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Parallel low-level image processing on a distributed-memory system

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Parallel and Distributed Processing (IPDPS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1800))

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Abstract

The paper presents a method to integrate parallelism in the DIPLIB sequential image processing library. The library contains several framework functions for different types of operations. We parallelize the filter framework function (contains the neighborhood image processing operators). We validate our method by testing it with the geometric mean filter. Experiments on a cluster of workstations show linear speedup.

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Author information

Authors and Affiliations

  1. Faculty of Applied Physics Pattern Recognition Group, Delft University of Technology, Lorentzweg 1, 2628 CJ, Delft, The Netherlands

    Cristina Nicolescu & Pieter Jonker

Authors
  1. Cristina Nicolescu
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  2. Pieter Jonker
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Editor information

Editors and Affiliations

  1. Centre Universitaire d’Informatique, Université de Genève, 24, rue Général Dufour, CH-1211, Genève 4, Switzerland

    José Rolim

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© 2000 Springer-Verlag Berlin Heidelberg

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Nicolescu, C., Jonker, P. (2000). Parallel low-level image processing on a distributed-memory system. In: Rolim, J. (eds) Parallel and Distributed Processing. IPDPS 2000. Lecture Notes in Computer Science, vol 1800. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45591-4_30

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  • DOI: https://doi.org/10.1007/3-540-45591-4_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67442-9

  • Online ISBN: 978-3-540-45591-2

  • eBook Packages: Springer Book Archive

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