Linguistic description of color images generated by a granular recognition system
2017 (English)In: ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2017, PT I / [ed] Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M., Springer Verlag , 2017, Vol. 10245, p. 603-615Conference paper, Published paper (Refereed)
Abstract [en]
The paper proposes a new method employed in an intelligent pattern recognition system that generates linguistic description of color digital images. The linguistic description is produced based on fuzzy rules and information granules concerning colors as most important among image attributes. With regard to the color, the CIE chromaticity color model is applied, with the concept of fuzzy color areas. The linguistic description uses information about location of color granules in input images. © Springer International Publishing AG 2017.
Place, publisher, year, edition, pages
Springer Verlag , 2017. Vol. 10245, p. 603-615
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10245
Keywords [en]
CIE chromaticity color model, Fuzzy sets, Image recognition, Information granulation, Knowledge-based system, Linguistic description, Artificial intelligence, Color, Color codes, Granulation, Information granules, Knowledge based systems, Linguistics, Pattern recognition, Soft computing, CIE chromaticity, Color digital images, Color granules, Image attributes, Intelligent pattern recognition, Linguistic descriptions, Recognition systems, Pattern recognition systems
National Category
Other Mathematics Media Engineering
Identifiers
URN: urn:nbn:se:bth-14900DOI: 10.1007/978-3-319-59063-9_54ISI: 000426204500054Scopus ID: 2-s2.0-85020906742ISBN: 9783319590622 (print)OAI: oai:DiVA.org:bth-14900DiVA, id: diva2:1120326
Conference
16th International Conference on Artificial Intelligence and Soft Computing, ICAISC, Zakopane
2017-07-062017-07-062018-03-23Bibliographically approved