Integral opponent-colors features for computing visual target distinctness

This paper presents a computational target distinctness model to predict hu man visual search performance for a set of color images. Visual distinctnes s metrics can be used to compare and rank target detectability, and to quan tify background or scene complexity. The subjective ranking induced by the psychophysically determined visual target distinctness for 64 human observe rs is adopted as the reference order. The ranking produced by the proposed measure and several computational models are compared with the subjective r ank order. (C) 2000 Pattern Recognition Society. Published by Elsevier Scie nce Ltd. All rights reserved.