Object detecting artificial retina

James G. Wilson (Department of Cybernetics, University of Reading, Reading, UK)
Richard J. Mitchell (Department of Cybernetics, University of Reading, Reading, UK)

Kybernetes

ISSN: 0368-492X

Publication date: 1 February 2000

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.

Keywords

Citation

Wilson, J.G. and Mitchell, R.J. (2000), "Object detecting artificial retina", Kybernetes, Vol. 29 No. 1, pp. 31-52. https://doi.org/10.1108/03684920010308835

Publisher

:

MCB UP Ltd

Copyright © 2000, MCB UP Limited

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