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Proceedings Paper

Morphological optical image processor
Author(s): Gary E. Lohman; Karl-Heinz Brenner
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Paper Abstract

A new type of nonlinear image processor based on morphological processing is demonstrated. Morphological image processing is based on the successive binary convolution of an image with a selectable convolution kernel. Its field of application includes numerical optical computing and binary image processing. Simple serial commands from a small electronic computer control the selection of the convolution kernels for a given iteration and consequently the parallel processing of very large optical data planes. 1.

Paper Details

Date Published: 1 July 1990
PDF: 3 pages
Proc. SPIE 1319, Optics in Complex Systems, (1 July 1990); doi: 10.1117/12.22136
Show Author Affiliations
Gary E. Lohman, Univ. Erlangen-Nurnberg (Germany)
Karl-Heinz Brenner, Univ. Erlangen-Nurnberg (Germany)


Published in SPIE Proceedings Vol. 1319:
Optics in Complex Systems
F. Lanzl; H.-J. Preuss; G. Weigelt, Editor(s)

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