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Proceedings Paper

Two-Dimensional Pattern Matching And Associative Memory Using A Simple Optoelectronic Architecture
Author(s): Jasprit Singh
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Paper Abstract

An algorithm has been developed which allows a simple optoelectronic architecture to have capabil-ities of matching a test image (1-D or 2-D) with stored images. It is shown that if a test image and a complementary stored image together with complementary test image and stored image are compared optically, the emerging light intensity is minimum for the best match. The suggested architecture then carries out efficient parallel comparison, and points out the best matched test image using a TV screen and transparencies. A time varying light intensity (or a time varying thresholding voltage) source and a device which switches its state when light input falls below a threshold value like a night-light are two ingredients, which are used to select the best match in parallel. The architecture is also ideally suited to finding the closeness of match of two images for quality control type operations.

Paper Details

Date Published: 1 March 1990
PDF: 9 pages
Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); doi: 10.1117/12.969761
Show Author Affiliations
Jasprit Singh, The University of Michigan (United States)


Published in SPIE Proceedings Vol. 1192:
Intelligent Robots and Computer Vision VIII: Algorithms and Techniques
David P. Casasent, Editor(s)

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