The Parallel Environment for Endoscopic Image Analysis

  • Authors:
  • Henryk Krawczyk;Aleksander Neyman;Michal Nowikowski;Jamil Saif

  • Affiliations:
  • -;-;-;-

  • Venue:
  • PPAM '01 Proceedings of the th International Conference on Parallel Processing and Applied Mathematics-Revised Papers
  • Year:
  • 2001

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Abstract

The jPVM-oriented environment to support high performance computing required for the Endoscopy Recommender System (ERS) is defined. SPMD model of image matching is considered and its two implementations are proposed: Lexicographical Searching Algorithm (LSA) and Gradient Serching Algorithm (GSA). Three classes of experiments are considered and the relative degree of similarity and execution time of each algorithm are analysed. Experimental results illustrating usefulness of the proposed environment for medical diagnosis are also discussed.