Object detecting artificial retina-Reference-Cited by-同舟云学术

Object detecting artificial retina

Published:2000-02-01 Issue:1 Volume:29 Page:31-52
ISSN:0368-492X
Container-title:Kybernetes
language:en
Short-container-title:

Author:

Wilson James G.,Mitchell Richard J.

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.

Publisher

Emerald

Subject

Computer Science (miscellaneous),Social Sciences (miscellaneous),Theoretical Computer Science,Control and Systems Engineering,Engineering (miscellaneous)

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