Abstract
In this paper, the “coarseness” texture property is modelled by means of fuzzy sets, relating representative coarseness measures (our reference set) with the human perception of this type of feature. In our study, a wide variety of measures are analyzed, and the coarseness human perception are collected from polls filled by subjects. The capability of each measure to discriminate different coarseness degrees is analyzed, taking into account this capability for defining the membership function.
This work has been partially supported by the Andalusian Government under the TIC1570 and TIC249.
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Chamorro-Martínez, J., Martínez-Jiménez, P. (2009). Fuzzy Sets for Image Texture Modelling Based on Human Distinguishability of Coarseness. In: Di Gesù, V., Pal, S.K., Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2009. Lecture Notes in Computer Science(), vol 5571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02282-1_29
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DOI: https://doi.org/10.1007/978-3-642-02282-1_29
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