Biologically Inspired Edge Detection

Dermot Kerr, SA Coleman, TM McGinnity, Qingxiang Wu, Marine Clogenson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)
146 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationUnknown Host Publication
Number of pages1000
ISBN (Print)978-1-4577-1676-8
Publication statusPublished (in print/issue) - 3 Jan 2012
Event11th International Conference on Intelligent Systems Design and Applications (ISDA) - Cordoba, Spain
Duration: 3 Jan 2012 → …


Conference11th International Conference on Intelligent Systems Design and Applications (ISDA)
Period3/01/12 → …


  • Edge detection
  • Spiking neural network


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