Abstract

In this paper, two optical image skeletonization algorithms are introduced. In both algorithms, the matching between an input and a set of precalculated parallel check patterns is performed. Based on the matching results, multistage symbolic substitution operations are incorporated. For an optical implementation, an optical hologram-based content-addressable memory technique is employed. The corresponding optical architecture as well as character skeletonization examples are presented.

© 1988 Optical Society of America

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