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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.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- PPAM 2001: Parallel Processing and Applied Mathematics strony 510 - 516
- Language:
- English
- Publication year:
- 2002
- Bibliographic description:
- Krawczyk H., Neyman A., Nowikowski M., Saif J.: The parallel environment for endoscopic image analysis// PPAM 2001: Parallel Processing and Applied Mathematics/ ed. Wyrzykowski R., Dongarra J., Paprzycki M., Waśniewski J. : Springer, Berlin, Heidelberg, 2002, s.510-516
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/3-540-48086-2_56
- Verified by:
- Gdańsk University of Technology
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