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Classification problem in CBIR

Jaworska T.

Journal of Theoretical and Applied Computer Science

2013

Vol. 7, nr 2

3--15

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.