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Biologically Inspired Edge Detection

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Kerr, Dermot, Coleman, SA, McGinnity, TM, Wu, Qingxiang and Clogenson, Marine (2012) Biologically Inspired Edge Detection. In: 11th International Conference on Intelligent Systems Design and Applications (ISDA), Cordoba, Spain . IEEE. 1000 pp. [Conference contribution]

PDF - Published Version

URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6121755

DOI: 10.1109/ISDA.2011.6121755


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.

Item Type:Conference contribution (Paper)
Keywords:Edge detection , Spiking neural network
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:20777
Deposited By:Dr Dermot Kerr
Deposited On:15 Feb 2012 11:30
Last Modified:15 Feb 2012 11:30

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