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Optical hardware for symbolic substitution is under serious consideration for optical computing applications. We show that symbolic substitution systems can be applied to image processing. Of particular importance are (1) nonlinear filtering operations applied to shapes (morphological transformations) and to level-sliced imagery and (2) linear filtering operations applied to bit-sliced images.
© 1987 Optical Society of America
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