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Parallel optical image processing with image-logic algebra and a polynomial approach

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Abstract

An interesting relationship between an optical parallel-processing single-instruction-multiple-data generic language, called image-logic algebra, and a polynomial approach for processing binary images by electronic computers is shown. Using only two basic operations of the ILA, one can reformulate a number of algorithms developed earlier in the polynomial approach into algorithms in the ILA environment. Thus a large number of new algorithms for parallel optical processing of binary images can be developed in the ILA environment that are fast and efficient.

© 1994 Optical Society of America

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