Abstract

We present a model of human preattentive texture perception. This model consists of three stages: (1) convolution of the image with a bank of even-symmetric linear filters followed by half-wave rectification to give a set of responses modeling outputs of V1 simple cells, (2) inhibition, localized in space, within and among the neural-response profiles that results in the suppression of weak responses when there are strong responses at the same or nearby locations, and (3) texture-boundary detection by using wide odd-symmetric mechanisms. Our model can predict the salience of texture boundaries in any arbitrary gray-scale image. A computer implementation of this model has been tested on many of the classic stimuli from psychophysical literature. Quantitative predictions of the degree of discriminability of different texture pairs match well with experimental measurements of discriminability in human observers.

© 1990 Optical Society of America

Spatial variability as a limiting factor in texture-discrimination tasks: implications for performance asymmetries

Barton S. Rubenstein and Dov Sagi
J. Opt. Soc. Am. A 7(9) 1632-1643 (1990)

Curvature-based perceptual singularities and texture saliency with early vision mechanisms

Guy Ben-Yosef and Ohad Ben-Shahar
J. Opt. Soc. Am. A 25(8) 1974-1993 (2008)

Texture discrimination at different eccentricities

Jukka Saarinen, Jyrki Rovamo, and Veijo Virsu
J. Opt. Soc. Am. A 4(8) 1699-1703 (1987)

Curvature and separation discrimination at texture boundaries

Hugh R. Wilson and Whitman A. Richards
J. Opt. Soc. Am. A 9(10) 1653-1662 (1992)

Intrinsic two-dimensional features as textons

Erhardt Barth, Christoph Zetzsche, and Ingo Rentschler
J. Opt. Soc. Am. A 15(7) 1723-1732 (1998)