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Concurrent Computation of Differential Morphological Profiles on Giga-Pixel Images

  • Michael H. F. Wilkinson
  • Pierre Soille
  • Martino Pesaresi
  • Georgios K. Ouzounis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6671)

Abstract

In this paper we provide an efficient parallel algorithm for reconstruction from markers, and multi-scale analysis through differential morphological profiles, which are top-hat scale spaces based on openings and closings by reconstruction. The new algorithms provide speed gain in two ways: (i) through parallelism, and (ii) through more efficient re-use of previously computed data. The best version of the algorithm provided a 17× speed-up on 24 cores, over computation of the same algorithm on a single core. Compared to the basic method of repeated reconstructions by a sequential algorithm, a speed gain of 25.1 times was obtained.

Keywords

Reconstruction Phase Marker Image Single Thread Level Root Speed Gain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Michael H. F. Wilkinson
    • 1
  • Pierre Soille
    • 2
  • Martino Pesaresi
    • 2
  • Georgios K. Ouzounis
    • 2
  1. 1.Johann Bernoulli InstituteUniversity of GroningenThe Netherlands
  2. 2.Geo-Spatial Information Analysis for Global Security and Stability, Global Security and Crisis Management UnitInstitute for the Protection and Security of the Citizen, Joint Research Centre, European CommissionIspraItaly

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