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, many modern Image information processing applications exist that are not easily amenable to solution by conventional sequential processing algorithms and machines. These applications include synthetic aperture radar image formation, earth resources data acquisition and analysis, meteorological forecasting, oceanographic studies, robotic vision and highly automated assembly, texture discrimination and identification, and image feature extraction for real-time recognition systems.

© 1988 Optical Society of America