The possibilities of fuzzy logic in image processing

Authors:
M. Nachtegael;T. Mélange;E. E. Kerre
Affiliations:
Ghent University, Dept. of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modeling Research Unit, Gent, Belgium;Ghent University, Dept. of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modeling Research Unit, Gent, Belgium;Ghent University, Dept. of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modeling Research Unit, Gent, Belgium
Venue:
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Year:
2007

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Abstract

It is not a surprise that image processing is a growing research field. Vision in general and images in particular have always played an important and essential role in human life. Not only as a way to communicate, but also for commercial, scientific, industrial and military applications. Many techniques have been introduced and developed to deal with all the challenges involved with image processing. In this paper, we will focus on techniques that find their origin in fuzzy set theory and fuzzy logic. We will show the possibilities of fuzzy logic in applications such as image retrieval, morphology and noise reduction by discussing some examples. Combined with other state-of-the-art techniques they deliver a useful contribution to current research.