Abstract
ABSTRACT By combining two powerful optical computing techniques, namely, optical symbolic substitution (OSS) and polarization-encoded optical shadow-casting (POSC), morphological orshape transformation operations are demonstrated. Accordingly, erosion, dilation, opening, and closing operations are realized using both OSS and POSC schemes. These morphological operations are used for noise removal in binary images. 1. INTRODUCTION The optical symbolic substitution is a pattern transformation technique which realizes digitallogic optically for information processing in two-dimensional images [1]. In this scheme, data are encoded as spatial patterns and operators are seen as pattern transformation rules [2,3]. In its operation, OSS functions by mapping a to-be-recognized pattern (recognition phase) into a new pattern (substitution phase). Because of its extensive parallelism as well as spatial orientation,OSS appears particularly attractive for implementing image processing techniqies. Symbolic
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