Perceptive visual texture classification and retrieval
Sebastiano Battiato, Giovanni Gallo, Salvo Nicotra · 2004
We present some analysis techniques and indexing strategies aimed to support classification and retrieval of textures using only perceptual features. The goal of this research is to provide a visual system that, starting from graphical cues representing relevant perceptual features of texture, interactively searches the most similar texture in the set of candidates in the corresponding texture space. Hence, a set of relevant perceptual features, used for indexing, is proposed: directionality, contrast and coarseness. A graphical representation of the computed characteristics is presented together with some examples. Finally, texture retrieval experiments using such iconic representations are presented and discussed.