Biologically Inspired Edge Detection using Spiking Neural Networks and Hexagonal Images

نویسندگان

  • Marine Clogenson
  • Dermot Kerr
  • T. Martin McGinnity
  • Sonya A. Coleman
  • Qingxiang Wu
چکیده

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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تاریخ انتشار 2011