Abstract

Properties of the entropy function encountered in physics and information theory are employed in the generation of highly selective spatial filters for pattern recognition. Computer simulations and laboratory demonstrate efficient recognition of single patterns or classes even when these are submerged in experiments high level random noise.

© 1990 Optical Society of America

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