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Proceedings Paper

Massively parallel signal processing architecture based on response of retina cells
Author(s): Nathan A. Wilkins; Mustafa A. G. Abushagur; H. John Caulfield
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Paper Abstract

A massively parallel signal and image processing architecture is considered. The architecture is comprised of 2D arrays of cells that simulate the response of retina neurons. The results of simulations are compared to previously published experimental results and the system is applied to detection of spatio-temporal features in sequences of images representative of pulse- doppler radar images. By arranging the output layer so that the cells respond to various key input features an array of feature extraction cells can be obtained. The system is characterized by developing an image space to feature space mapping.

Paper Details

Date Published: 28 October 1994
PDF: 6 pages
Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); doi: 10.1117/12.190877
Show Author Affiliations
Nathan A. Wilkins, COLSA Corp. (United States)
Mustafa A. G. Abushagur, Univ. of Alabama in Huntsville (United States)
H. John Caulfield, Alabama A&M Univ. (United States)

Published in SPIE Proceedings Vol. 2296:
Advanced Signal Processing: Algorithms, Architectures, and Implementations V
Franklin T. Luk, Editor(s)

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