Fuzzy rule-based classifier for content-based image retrieval

被引：0
|
作者：
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland [1 ]
机构：
[1] Jaworska, Tatiana
来源：
Jaworska, T. (Tatiana.Jaworska@ibspan.waw.pl) | 1600年 / Springer Verlag卷 / 183 AISC期
关键词：
Content based retrieval - Fuzzy inference - Search engines - Fuzzy rules - Image classification - Information management;
D O I：
10.1007/978-3-642-32335-5-1
中图分类号：
学科分类号：
摘要：
At present a great deal of research is being done in different aspects of Content-Based Image Retrieval System (CBIR). Thus, it is necessary to develop appropriate information systems to efficiently manage datasets. Image classification is one of the most important services in image retrieval that must support these systems. The primary issue we have addressed is: how can the fuzzy set theory be used to handle crisp data for images. We propose how to introduce fuzzy rule-based classification for image objects. To achieve this goal we have constructed fuzzy rule-based classifiers, taking into account crisp data. In this chapter we present the results of the use of this fuzzy rule-based system in our CBIR.
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