Image similarity: from fuzzy sets to color image applications

Authors:
M. Nachtegael;S. Schulte;V. De Witte;T. Mélange;E. E. Kerre
Affiliations:
Ghent University, Dept. of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Gent, Belgium;Ghent University, Dept. of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Gent, Belgium;Ghent University, Dept. of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Gent, Belgium;Ghent University, Dept. of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Gent, Belgium;Ghent University, Dept. of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Gent, Belgium
Venue:
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Year:
2007

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Abstract

Image similarity is an important topic in the field of image processing. The goal is to obtain objective measures that express the similarity between two images in a way that matches human evaluation. Such measures have both theoretical and practical applications. In this paper, we show how similarity measures for fuzzy sets have been modified in order to be applied in image processing. We also discuss a new application of these measures in the context of color image retrieval, indicating the potential of this class of similarity measures.