Analyzing Natural Images: A Computational Theory of Texture Vision
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A theory of early and intermediate visual information processing is given, which extends to about the level of figure-ground separation. Its core is a computational theory of texture vision. Evidence obtained from perceptual and from computational experiments is adduced in its support. A consequence of the theory is that high-level knowledge about the world influences visual processing later and in a different way from that currently practiced in machine vision.