Ulster University Logo

Ulster Institutional Repository

Biologically Inspired Edge Detection using Spiking Neural Networks and Hexagonal Images

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

Clogenson, M, Kerr, D, McGinnity, TM, Coleman, SA and Wu, Qingxiang (2011) Biologically Inspired Edge Detection using Spiking Neural Networks and Hexagonal Images. In: International Conference on Neural Computation Theory and Applications, Paris, France. SciTePress. 1000 pp. [Conference contribution]

[img]
Preview
PDF - Published Version
841Kb

DOI: 10.5220/0003682103810384

Abstract

Inspired by the structure and behaviour of the human visual system, we extend existing work using spiking neural networks for edge detection with a biologically plausible hexagonal pixel arrangement. Standard digital images are converted into a hexagonal pixel representation before being processed with a spiking neural network with scalable hexagonally shaped receptive fields. The performance is compared with different sized receptive fields implemented on standard rectangular images. Results illustrate that using hexagonal-shaped receptive fields provides improved performance over a range of scales compared with standard rectangular shaped receptive fields and images.

Item Type:Conference contribution (Paper)
Keywords:Spiking neural network, Edge detection, Multi-scale hexagonal receptive fields
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:20775
Deposited By:Dr Dermot Kerr
Deposited On:17 Jan 2012 14:44
Last Modified:17 Jan 2012 14:44

Repository Staff Only: item control page