BIOLOGICALLY INSPIRED EDGE DETECTION USING SPIKING NEURAL NETWORKS AND HEXAGONAL IMAGES

Marine Clogenson, Dermot Kerr, Martin McGinnity, Sonya Coleman, Qingxiang Wu

2011

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.

Paper Citation

in Harvard Style

Clogenson M., Kerr D., McGinnity M., Coleman S. and Wu Q. (2011). BIOLOGICALLY INSPIRED EDGE DETECTION USING SPIKING NEURAL NETWORKS AND HEXAGONAL IMAGES . In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011) ISBN 978-989-8425-84-3, pages 381-384. DOI: 10.5220/0003682103810384

in Bibtex Style

@conference{ncta11,
author={Marine Clogenson and Dermot Kerr and Martin McGinnity and Sonya Coleman and Qingxiang Wu},
title={BIOLOGICALLY INSPIRED EDGE DETECTION USING SPIKING NEURAL NETWORKS AND HEXAGONAL IMAGES},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)},
year={2011},
pages={381-384},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003682103810384},
isbn={978-989-8425-84-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)
TI - BIOLOGICALLY INSPIRED EDGE DETECTION USING SPIKING NEURAL NETWORKS AND HEXAGONAL IMAGES
SN - 978-989-8425-84-3
AU - Clogenson M.
AU - Kerr D.
AU - McGinnity M.
AU - Coleman S.
AU - Wu Q.
PY - 2011
SP - 381
EP - 384
DO - 10.5220/0003682103810384