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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

ISBN: 978-989-8425-84-3

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)ISBN 978-989-8425-84-3, 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)},
year={2011},
pages={381-384},
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)
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

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