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Optimal parallel algorithms for multidimensional image template matching and pattern matching

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Book cover Parallel Image Analysis (ICPIA 1992)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 654))

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Abstract

This paper presents efficient and optimal parallel algorithms for multidimensional image template matching on CREW PRAM model. For an N d image and M d window, we present an optimal (resp. efficient) algorithm which runs in O(log(M)) time with O((M d ×N d)/log(M)) processors (resp.O(M d ×N d)). We also present efficient and optimal algorithms for solving the multidimensional array and pattern matching.

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References

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Author information

Authors and Affiliations

  1. Institut Galilée, L.I.P.N Universite Paris XIII, Av. J. B. Clément, 93400, Villetaneuse, France

    A. Saoudi

  2. L.I.T.P Universite Paris VII, 2, Place Jusieu, 75251, Paris Cedex 05, France

    M. Nivat

Authors
  1. A. Saoudi
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  2. M. Nivat
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Editor information

Akira Nakamura Maurice Nivat Ahmed Saoudi Patrick S. P. Wang Katsushi Inoue

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© 1992 Springer-Verlag Berlin Heidelberg

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Saoudi, A., Nivat, M. (1992). Optimal parallel algorithms for multidimensional image template matching and pattern matching. In: Nakamura, A., Nivat, M., Saoudi, A., Wang, P.S.P., Inoue, K. (eds) Parallel Image Analysis. ICPIA 1992. Lecture Notes in Computer Science, vol 654. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56346-6_42

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  • DOI: https://doi.org/10.1007/3-540-56346-6_42

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56346-4

  • Online ISBN: 978-3-540-47538-5

  • eBook Packages: Springer Book Archive

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