Origins of illusory percepts in digital images

Here we show the relation between illusory percepts and statistical regularities across scales and orientations. To this aim, the performance of a computational model for the partitioning of statistical regularities is analyzed on several tasks such as long-range boundary completion, phase-induced contour detection, as well as shape and size illusions. The system for the automatically learned partitioning of statistical regularities in 2D images, is based on a sophisticated, band-pass, "ltering operation, with "xed scale and orientation sensitivity. Experimental results are provided to illustrate this analysis on several examples: (i) Kanizsa-type subjective "gures; (ii) phase-induced subjective contours; (iii) the ZoK llner illusion; and (iv) the MuK ller}Lyer illusion. ( 2000 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.