Abstract

Digital optical computing is well suited to image processing tasks because of its parallelism and massive computational capability. Binary image algebra (BIA) provides a systematic parallel mathematical structure for developing parallel optical numerical array computation and image processing algorithms. A BIA representation and comparison of different kinds of parallel optical binary arithmetic (including symbolic substitution arithmetic) are discussed in Ref. ¹. Here we extend this study to image processing applications.

© 1988 Optical Society of America