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Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition pp 3–32Cite as

A Survey of Applications of the Extensions of Fuzzy Sets to Image Processing

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 256))

Abstract

In this chapter a revision of different image processing applications developed with different extensions of fuzzy sets is presented. The way extensions of fuzzy sets try to modelize some aspects of the uncertainty existing in different processes of image processing and how this extensions handle in a better way than fuzzy sets such uncertainty is explained.

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Author information

Authors and Affiliations

  1. Universidad Pública de Navarra, Pamplona, Spain

    Humberto Bustince, Miguel Pagola, Aranzazu Jurio, Edurne Barrenechea & Javier Fernández

  2. Universidade Tras-os-Montes e Alto Douro, VilaReal, Portugal

    Pedro Couto & Pedro Melo-Pinto

Authors
  1. Humberto Bustince
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  2. Miguel Pagola
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  3. Aranzazu Jurio
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  4. Edurne Barrenechea
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  5. Javier Fernández
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  6. Pedro Couto
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  7. Pedro Melo-Pinto
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Tijuana Institute of Technology, P.O. Box 4207, 91909, Chula Vista, CA, USA

    Patricia Melin

  2. Systems Research Institute, Newelska, Polish Academy of Sciences, 601-447, Warszawa, Poland

    Janusz Kacprzyk

  3. Dept. Electrical and Computer Engineering, University of Alberta, T6J 2V4, Edmonton, Alberta, Canada

    Witold Pedrycz

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Bustince, H. et al. (2009). A Survey of Applications of the Extensions of Fuzzy Sets to Image Processing. In: Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition. Studies in Computational Intelligence, vol 256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04516-5_1

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  • DOI: https://doi.org/10.1007/978-3-642-04516-5_1

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