Structured Texture Detection through Fuzzy Texture Spectrum Analysis

M. Grau-Sánchez, P. Sobrevilla, E. Montseny

In this paper we present our ongoing work for getting the discrimination power of the Fuzzy Texture Spectrum encoding. The model we propose provides the classes encoded by the spectrum having outstanding power for getting homogeneous, granulated and structured texture image characterization. Moreover, we provide the membership functions allowing getting the degrees to which an image (or image part) is homogeneous, structured and microgranulated.

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