Fuzzy-Aided Syntactic Scene Analysis

Authors:
Marzena Bielecka;Marek Skomorowski
Affiliations:
Department of Goeinformatics and Applied Computer Science, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland;Institute of Computer Science, Jagiellonian University, Nawojki 11, 30-072 Kraków, Poland
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Year:
2007

Citing 2
Cited 0

Use of random graph parsing for scene labelling by probabilistic relaxation

Pattern Recognition Letters
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Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence

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Abstract

In syntactic pattern recognition a pattern can be described by a graph. The problem of recognition is to determine if a pattern, represented by a describing graph, belongs to a language L(G), generated by a graph grammar G. The so-called IEgraphs are used for pattern description. They are generated by so-called ETPL(k)graph grammars. The purpose of this paper is to present an idea of a new approach to syntactic recognition of fuzzy patterns represented by fuzzy IEgraphs, followed the example of random IEgraphs. This methodology can be used in embodied multi-agent systems for a scene analysis.