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Proceedings Paper

Computer Vision Applications Of Associative Networks (AN)
Author(s): Fernando Vicuna; J. Michael Oyster; Walter Broadwell
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Paper Abstract

The IBM Los Angeles Scientific Center has been studying the application of a parallel computational model, the Associative Network, or "AN", to computer vision problems. This work has led to the design of ANs that compute Boolean functions, convolution integrals, Gaussian filtered images, edge-enhanced images, region-growing algorithms, the Hough transform, and simple pattern recognition. Every computation has required a distinct approach to AN design, demonstrating the versatility of ANs. These application studies have shown that image processing transformations, often too slow to be practical on a sequential machine, can be executed rapidly with ANs.

Paper Details

Date Published: 11 August 1987
PDF: 8 pages
Proc. SPIE 0752, Digital Optical Computing, (11 August 1987); doi: 10.1117/12.939916
Show Author Affiliations
Fernando Vicuna, IBM Los Angeles Scientific Center (United States)
J. Michael Oyster, IBM Los Angeles Scientific Center (United States)
Walter Broadwell, IBM Los Angeles Scientific Center (United States)


Published in SPIE Proceedings Vol. 0752:
Digital Optical Computing
Raymond Arrathoon, Editor(s)

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