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Proceedings Paper

Integrated Optical Threshold Gates For Digital Image Processing
Author(s): M. H. Hassoun; R. Arrathoon
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Paper Abstract

Low level processing or preprocessing is often the starting point in many computer vision systems. This stage is typically characterized as picture processing and uses gradients, edge templates, filters, thresholding, and other enhancement techniques. The next stage in computer vision commonly deals with the processed image, usually binary in nature, and extracts intrinsic features such as size, shape, boundary, orientation, moments, etc. A new class of multiple-valued integrated optical processors is proposed for the parallel implementation of selected preprocessing algorithms. The basic component of the multiple-valued processor is an integrated optical threshold gate.(1-3) The parallel processing algorithms required for both smoothing and boundary determination with an integrated optical thresholding array are described. One possible architecture for an optical parallel digital image processor is presented.

Paper Details

Date Published: 11 December 1985
PDF: 7 pages
Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); doi: 10.1117/12.950808
Show Author Affiliations
M. H. Hassoun, Wayne State University (United States)
R. Arrathoon, Wayne State University (United States)

Published in SPIE Proceedings Vol. 0579:
Intelligent Robots and Computer Vision IV
David P. Casasent, Editor(s)

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