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Authors: Marine Clogenson 1 ; Dermot Kerr 2 ; Martin McGinnity 2 ; Sonya Coleman 2 and Qingxiang Wu 2

Affiliations: 1 CPE Lyon, France ; 2 University of Ulster, United Kingdom

Keyword(s): Spiking neural network, Edge detection, Multi-scale hexagonal receptive fields.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image Processing and Artificial Vision Applications ; Methodologies and Methods ; Modular Implementation of Artificial Neural Networks ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

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.

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Paper citation in several formats:
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 (IJCCI 2011) - NCTA; ISBN 978-989-8425-84-3, SciTePress, pages 381-384. DOI: 10.5220/0003682103810384

@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 (IJCCI 2011) - NCTA},
year={2011},
pages={381-384},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003682103810384},
isbn={978-989-8425-84-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2011) - NCTA
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
PB - SciTePress

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