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Biologically inspired edge detection

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5 Author(s)
Kerr, D. ; Intell. Syst. Res. Centre, Univ. of Ulster Magee, Derry, UK ; Coleman, S. ; McGinnity, M. ; QingXiang Wu
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Inspired by the structure and behaviour of the human visual system, we present an approach to edge detection using spiking neural networks and a biologically plausible hexagonal pixel arrangement. Standard digital images are converted into a hexagonal pixel representation and then processed using a spiking neural network with hexagonal shaped receptive fields. The performance is compared with receptive fields implemented on standard rectangular images. Results illustrate that, using hexagonal shaped receptive fields, performance is improved over standard rectangular shaped receptive fields.

Published in:

Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on

Date of Conference:

22-24 Nov. 2011