Classification problem in CBIR

• Autorzy: Jaworska T.
• Języki publikacji: EN

Abstrakty

EN

At present a great deal of research is being done in different aspects of Content-Based Image Retrieval (CBIR). Image classification is one of the most important tasks in image retrieval that must be dealt with. The primary issue we have addressed is: how can the fuzzy set theory be used to handle crisp image data. We propose fuzzy rule-based classification of image objects. To achieve this goal we have built fuzzy rule-based classifiers for crisp data. In this paper we present the results of fuzzy rule-based classification in our CBIR. Furthermore, these results are used to construct a search engine taking into account data mining.

Słowa kluczowe

EN

content-based image retrieval (CBIR); spatial relationship; fuzzy systems; fuzzy rule-based classification; pattern recognition; image search engine

• Wydawca: Komisja Informatyki Polskiej Akademii Nauk, Oddział w Gdańsku
• Czasopismo: Journal of Theoretical and Applied Computer Science
• Rocznik: 2013
• Tom: Vol. 7, nr 2
• Strony: 3--15
• Opis fizyczny: Bibliogr. 22 poz., rys.

Twórcy

autor

Jaworska T.

• Polish Academy of Sciences, Systems Research Institute, Poland

Bibliografia

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