Structured Texture Detection through Fuzzy Texture Spectrum Analysis
Pilar Sobrevilla, Eduard Montseny · 2008
In this paper we present our ongo-ing work for getting the discrimi-nation power of the Fuzzy Texture Spectrum encoding. The model we propose provides the classes encoded by the spectrum having outstand-ing power for getting homogeneous, granulated and structured texture image characterization. Moreover, we provide the membership func-tions allowing getting the degrees to which an image (or image part) is homogeneous, structured and micro-granulated.