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Image Retrieval by Use of Linguistic Description in Databases
Czestochowa University of Technology, POL.
Czestochowa University of Technology, POL.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-9920-7946
2018 (English)In: Artificial Intelligence and Soft Computing, Part II / [ed] Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M., Springer, 2018, Vol. 10842, p. 92-103Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, a new method of image retrieval is proposed. This concerns retrieving color digital images from a database that contains a specific linguistic description considered within the theory of fuzzy granulation and computing with words. The linguistic description is generated by use of the CIE chromaticity color model. The image retrieval is performed in different way depending on users' knowledge about the color image. Specific database queries can be formulated for the image retrieval.
Place, publisher, year, edition, pages
Springer, 2018. Vol. 10842, p. 92-103
Series
Lecture Notes in Artificial Intelligence
Keywords [en]
image retrieval, image recognition, information granulation, linguistic description, fuzzy sets, computing with words, image databases, CIE chromaticity color model, knowledge-based system
National Category
Media Engineering
Identifiers
URN: urn:nbn:se:bth-16634DOI: 10.1007/978-3-319-91262-2_9ISI: 000552709100009ISBN: 978-3-319-91261-5 (print)ISBN: 978-3-319-91262-2 (electronic)OAI: oai:DiVA.org:bth-16634DiVA, id: diva2:1228123
Conference
17th International Conference, ICAISC 2018, Zakopane, Poland
Available from: 2018-06-27 Created: 2018-06-27 Last updated: 2021-01-13Bibliographically approved

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ICAISC 2018(1029 kB)383 downloads
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Rakus-Andersson, Elisabeth

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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