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Object detecting artificial retina

Object detecting artificial retina This paper describes the novel use of agent and cellular neural Hopfield network techniques in the design of a self‐contained, object detecting retina. The agents, which are used to detect features within an image, are trained using the Hebbian method which has been modified for the cellular architecture. The success of each agent is communicated with adjacent agents in order to verify the detection of an object. Initial work used the method to process bipolar images. This has now been extended to handle grey scale images. Simulations have demonstrated the success of the method and further work is planned in which the device is to be implemented in hardware. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

Object detecting artificial retina

James G. Wilson; Richard J. Mitchell
Kybernetes , Volume 29 (1): 22 – Feb 1, 2000
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22 pages

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Publisher
Emerald Publishing
Copyright
Copyright © 2000 MCB UP Ltd. All rights reserved.
ISSN
0368-492X
DOI
10.1108/03684920010308835
Publisher site
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Abstract

This paper describes the novel use of agent and cellular neural Hopfield network techniques in the design of a self‐contained, object detecting retina. The agents, which are used to detect features within an image, are trained using the Hebbian method which has been modified for the cellular architecture. The success of each agent is communicated with adjacent agents in order to verify the detection of an object. Initial work used the method to process bipolar images. This has now been extended to handle grey scale images. Simulations have demonstrated the success of the method and further work is planned in which the device is to be implemented in hardware.

Journal

Kybernetes – Emerald Publishing

Published: Feb 1, 2000

Keywords: Artificial neural networks; Cybernetics; Vision

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