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Color Digital Picture Recognition Based on Fuzzy Granulation Approach
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-9920-7946
2014 (English)In: ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING ICAISC 2014, PT I / [ed] Rutkowski, L; Korytkowski, M; Scherer, R; Tadeusiewicz, R; Zadeh, LA; Zurada, JM, Springer, 2014, Vol. 8467, 319-332 p.Conference paper, Published paper (Refereed)
Abstract [en]

The paper concerns specific problems of color digital picture recognition by use of the concept of fuzzy granulation, and in addition rough information granulation. This idea employs information granules that contain pieces of knowledge about digital pictures such as location of objects as well as their size and color. Each of those attributes is described by means of linguistic values of fuzzy sets, and the shape attribute is also considered with regard to the rough sets. The picture recognition approach is focused on retrieving a picture (or pictures) from a large collection of color digital pictures (images) - based on the linguistic description of a specific object included in the picture to be recognized.

Place, publisher, year, edition, pages
Springer, 2014. Vol. 8467, 319-332 p.
Series
Lecture Notes in Artificial Intelligence, ISSN 0302-9743 ; 8467
Keyword [en]
Color picture recognition, Fuzzy granulation, Retrieval of pictures, Fuzzy sets, Rough sets
National Category
Mathematics Computer Science
Identifiers
URN: urn:nbn:se:bth-6692ISI: 000341246000028Local ID: oai:bth.se:forskinfo3F1A02ECAC4E0DA4C1257CFF00450C7CISBN: 978-3-319-07172-5 (print)OAI: oai:DiVA.org:bth-6692DiVA: diva2:834216
Conference
Artificial Intelligence and Soft Computing - 13th International Conference, ICAISC, Zakopane, Poland
Available from: 2014-06-24 Created: 2014-06-22 Last updated: 2017-06-16Bibliographically approved

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Citation style
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