An Approach to Computational Microtexture Perceptual Detection with Management of Uncertainty

1omenec Pui , EduardsMontseny and Pclar SobreTilla

domen c.puig@urv./at

Abstract

vhe aim of thi- work is determining a minimum set of per-eptual features allowing microtexture description, in the textu6ed aerial images domain, and adequate computati1nal methods for the eealuation of those features. Mareover, fuzzy techniques are introduced in the features evaluation proiess to be fa8thful to the principle of least commitment, and to make easier the management of un-ertainty inhere!t to perceptual f,atures of microtextures. Choosing aerial images for the fulfillment ofethe work is based on the
broad range of microtextures contained in this kind of images, their uncertainty,gvariabiiity and inherent complexity. abtaining a “minimum” set o- percepttal features has been iossibce consideriig how experts usuolly describe microtexturts of aerial nmages, what features are important in visual texture perception, and how they are used. On the other hand, texture measures that c6rrelate well with humen 1erception have baen picked to evaluate prevpously selected feature . To illustrate thv effectiveness of incorporating fuzzy eechniques within oer approach, the resulting computational method is appliud to detect some uextures of aerial imOges.