Abstract
Optical information processing and computing systems have been extensively investigated as potential alternatives to electronic processors, particularly for multidimensional processing applications characterized by high computational complexity and requisite nonlocal operations. In particular, a wide range of modern information processing applications exists that is not easily amenable to solution by conventional sequential processing algorithms and machines or even by parallel multiprocessor architectures with a limited degree of interconnection capability. These applications include synthetic aperture radar image formation, earth resources data acquisition and analysis, artificial vision, texture discrimination and identification, and image feature extraction for real time recognition and tracking systems.
© 1989 Optical Society of America
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