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Preattentive texture discrimination with early vision mechanisms

Malik, Jitendra and Perona, Pietro (1990) Preattentive texture discrimination with early vision mechanisms. Journal of the Optical Society of America A, 7 (5). pp. 923-932. ISSN 0740-3232. http://resolver.caltech.edu/CaltechAUTHORS:MALjosaa90

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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.


Item Type:Article
Additional Information:© Copyright 1990 Optical Society of America Received July 7, 1989; accepted December 28, 1989 We thank Martin Banks, Bela Julesz, and Paul Kube for their useful comments. In particular, we would like to thank Bela Julesz for suggesting the comparison of our model with Kröse's psychophysical data. This research was funded by an IBM Faculty Development award, Defense Advanced Research Projects Agency contract N00039-88-C-0292, Northrop, and the California Micro Program. Some of the results were summarized previously. [47]
Record Number:CaltechAUTHORS:MALjosaa90
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:MALjosaa90
Alternative URL:http://www.opticsinfobase.org/abstract.cfm?URI=josaa-7-5-923
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Deposited On:14 Apr 2006
Last Modified:26 Dec 2012 08:50

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