51-Preajttentive texture discrimination with early vision
We preEent 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 VI simple cells, (2) inhibition, localized in space, within and among the neuralresponse profiles that results in the suppression of weak responses when there are strong responses at the same or nearby Jocations, 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 degIee of discriminability of different texture pairs match well with experimental measurements of discriminability in human observers. leiI J.