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)


ISSN: 0368-492X

Publication date: 1 February 2000


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.



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




Copyright © 2000, MCB UP Limited

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