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New Algorithms for a Granular Image Recognition System
Czestochowa University of Technology.
Czestochowa University of Technology.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-9920-7946
2016 (English)In: Artificial Intelligence and Soft Computing LNAI 9693: Proceedings of the 15th International Conference, ICAISC 2016 / [ed] Leszek Rutkowski et al., Berlin Heidelberg: Springer, 2016, Vol. II, 755-766 p.Conference paper (Refereed)
Abstract [en]

The paper describes new algorithms proposed for the granular pattern recognition system that retrieves an image from a collection of color digital pictures based on the knowledge contained in the object information granule (OIG). The algorithms use the granulation approach that employs fuzzy and rough granules. The information granules present knowledge concerning attributes of the object to be recognized. Different problems are considered depending on the full or partial knowledge where attributes are "color", "location", "size", and  "shape".

Place, publisher, year, edition, pages
Berlin Heidelberg: Springer, 2016. Vol. II, 755-766 p.
LNAI, 9693
Keyword [en]
image recognition, information granulation, fuzzy sets, rough sets, knowledge-based system
National Category
Engineering and Technology Natural Sciences
URN: urn:nbn:se:bth-11964DOI: 978-3-319-39383-4ISBN: 978-3-319-39384-1OAI: diva2:933162
15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016
Available from: 2016-06-03 Created: 2016-06-03 Last updated: 2016-09-20Bibliographically approved

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Rakus-Andersson, Elisabeth
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