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Fuzzy Rule-Based Classifier for Content-Based Image Retrieval

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Multimedia and Internet Systems: Theory and Practice

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 183))

Abstract

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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Author information

Authors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Tatiana Jaworska

Authors
  1. Tatiana Jaworska
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Corresponding author

Correspondence to Tatiana Jaworska .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Division of Information Systems, Wroclaw University of Technology, Wybrzeże Wyspiańskiego 27, Wroclaw, 50-370, Poland

    Aleksander Zgrzywa

  2. Institute of Informatics, Division of Information Systems, Wroclaw University of Technology, Wybrzeże Wyspiańskiego 27, Wrocław, 50-370, Poland

    Kazimierz ChoroÅ›

  3. Institute of Informatics, Division of Information Systems, Wroclaw University of Technology, Wybrzeże Wyspiańskiego 27, Wrocław, 50-370, Poland

    Andrzej Siemiński

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Jaworska, T. (2013). Fuzzy Rule-Based Classifier for Content-Based Image Retrieval. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) Multimedia and Internet Systems: Theory and Practice. Advances in Intelligent Systems and Computing, vol 183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32335-5_1

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  • DOI: https://doi.org/10.1007/978-3-642-32335-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32334-8

  • Online ISBN: 978-3-642-32335-5

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