Computer Vision Applications Of Associative Networks (AN)

Fernando Vicuna; J. Michael Oyster; Walter Broadwell

doi:10.1117/12.939916

11 August 1987 Computer Vision Applications Of Associative Networks (AN)

Fernando Vicuna, J. Michael Oyster, Walter Broadwell

Proceedings Volume 0752, Digital Optical Computing; (1987) https://doi.org/10.1117/12.939916
Event: OE LASE'87 and EO Imaging Symposium, 1987, Los Angeles, CA, United States

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.

Citation Download Citation

Fernando Vicuna, J. Michael Oyster, and Walter Broadwell "Computer Vision Applications Of Associative Networks (AN)", Proc. SPIE 0752, Digital Optical Computing, (11 August 1987); https://doi.org/10.1117/12.939916

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