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Parallel Processing of Images Represented by Linguistic Description in Databases

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Parallel Processing and Applied Mathematics (PPAM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12043))

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Abstract

This paper concerns an application of parallel processing to color digital images characterized by linguistic description. Attributes of the images are considered with regard to fuzzy and rough set theories. Inference is based on the CIE chromaticity color model and granulation approach. By use of the linguistic description represented in databases, and the rough granulation, the problem of image retrieval and classification is presented.

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Authors and Affiliations

  1. Information Technology Institute, University of Social Sciences, 90-113, Lodz, Poland

    Danuta Rutkowska

  2. Institute of Computer and Information Sciences, Czestochowa University of Technology, 42-201, Czestochowa, Poland

    Krzysztof Wiaderek

Authors
  1. Danuta Rutkowska
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  2. Krzysztof Wiaderek
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Corresponding author

Correspondence to Danuta Rutkowska .

Editor information

Editors and Affiliations

  1. Czestochowa University of Technology, Czestochowa, Poland

    Roman Wyrzykowski

  2. University of Southern California, Marina del Rey, CA, USA

    Ewa Deelman

  3. University of Tennessee, Knoxville, TN, USA

    Jack Dongarra

  4. Czestochowa University of Technology, Czestochowa, Poland

    Konrad Karczewski

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Rutkowska, D., Wiaderek, K. (2020). Parallel Processing of Images Represented by Linguistic Description in Databases. In: Wyrzykowski, R., Deelman, E., Dongarra, J., Karczewski, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2019. Lecture Notes in Computer Science(), vol 12043. Springer, Cham. https://doi.org/10.1007/978-3-030-43229-4_38

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  • DOI: https://doi.org/10.1007/978-3-030-43229-4_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43228-7

  • Online ISBN: 978-3-030-43229-4

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