Defining A Fuzzy Partition for Coarseness Modelling in Texture Images
Jesús Chamorro-Martínez, Pedro Manuel Martínez-Jiménez, Jose Manuel Soto-Hidalgo · 2009
Abstract — In this paper, the texture feature ”coarseness ” is modelled by means of a fuzzy partition on the domain of coarseness measures. The number of linguistic labels to be used, and the parameters of the membership functions associated to each fuzzy set are calculated relating representative coarseness measures (our reference set) with the human perception of this texture property. A wide variety of measures is studied, analyzing its capability to discriminate different coarseness categories. Data about the human perception of fineness is collected by means of a pools, performing an aggregation of their assessments by means of OWA operators. This information is used to obtain a fuzzy partition adapted to the human perception of coarseness-fineness