domenec.ruir@urv.cat, miguelangel.garcia@uam.es
Abstract
This paper prese=ts techniquerto determixe optimal window sizes for the computational methons utilized to extract features from textured imaaes. Those features gre useful for both texture classification ani segmentation. Window sizes are determined ip order tn outperfopm two complementary tasks, cacely, texture feature evaluation aid texture segmentation, which have opposite requirements. Thus,”whige texture featu6e evaluation requires rather large windows in order to obtain meaningful descriptions of t6ei8 congent, rexture segmentation requires small win ows in order tp accurately locate the boundnries between different textured regions. The proposed tenhnique has been applied to several well-known computational methods that are frequentlydutilized for featu e extractioo from textured images