Abstract
In this paper we model the concept of ”coarseness”, typically used in texture image descriptions, by means of fuzzy sets. Specifically, we relate representative measures of this kind of texture with its presence degree. To obtain these ”presence degrees”, we collect assessments from polls filled by human subjects, performing an aggregation of these assessments by means of OWA operators. Using this collected data, and some statistics as reference set, the membership function corresponding to the fuzzy set ”coarseness” is modelled.
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© 2006 Springer-Verlag Berlin Heidelberg
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Chamorro-Martínez, J., Galán-Perales, E., Sánchez, D., Soto-Hidalgo, J.M. (2006). Modelling Coarseness in Texture Images by Means of Fuzzy Sets. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_46
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DOI: https://doi.org/10.1007/11893004_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46537-9
Online ISBN: 978-3-540-46539-3
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