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Parallel Processing of Color Digital Images for Linguistic Description of Their Content
Czestochowa University of Technology, POL.
University of Social Sciences, 90-113 Lodz, POL.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-9920-7946
2018 (English)In: PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2017), PT I: Proceedings of the 12th International Conference, PPAM 2017 / [ed] Roman Wyrzykowski, Jack J. Dongarra, Ewa Deelman, Konrad Karczewski, Springer, 2018, Vol. I, p. 544-554Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents different aspects of parallelization of a problem of processing color digital images in order to generate linguistic description of their content. A parallel architecture of an intelligent image recognition system is proposed. Fuzzy classifcation and inference is performed in parallel, based on the CIE chromaticity color model and granulation approach. In addition, the parallelization concerns, e.g., processing a large collection of images or parts of a single image.

Place, publisher, year, edition, pages
Springer, 2018. Vol. I, p. 544-554
Series
Lecture Notes in Computer Science ; 10777
Keywords [en]
Parallel processing, image recognition, information granulation, linguistic description, fuzzy sets, knowledge-based system, CIE chromaticity color model
National Category
Media Engineering
Identifiers
URN: urn:nbn:se:bth-17102DOI: 10.1007/978-3-319-78024-5_47ISI: 000458563300047ISBN: 978-3-319-78023-8 (electronic)OAI: oai:DiVA.org:bth-17102DiVA, id: diva2:1254888
Conference
Parallel Processing and Applied Mathematics, PPAM, Lublin,SEP 10-13, 2017
Available from: 2018-10-10 Created: 2018-10-10 Last updated: 2019-03-07Bibliographically approved

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Rakus-Andersson, Elisabeth

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CiteExportLink to record
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Output format
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