Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System

Qingxiang Wu, TM McGinnity, Liam Maguire, German Valderrama, Patrick Dempster

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

The human visual system demonstrates powerful image processing functionalities. Inspired by the visual system, a spiking neural network is proposed to segment visual images. The network is constructed in the two parts. The first part is a spiking neural network which is composed of photon receptors, cone and rod cells, and ON/OFF ganglion cells. Colour features can be extracted and passed through different ON/OFF pathways. The second part is a BP neural network which is trained to recognize the colour features and segment the visual image. The network has been successfully applied to segment leukocytes from blood smeared images.
Original languageEnglish
Title of host publicationUnknown Host Publication
EditorsD.-S. Huang
Place of PublicationBerlin Heidelberg
PublisherSpringer
Pages49-57
Number of pages8
DOIs
Publication statusPublished - 1 Aug 2010
Eventinternational conference on Intelligent Computing (ICIC2010) - Changsha, China
Duration: 1 Aug 2010 → …

Conference

Conferenceinternational conference on Intelligent Computing (ICIC2010)
Period1/08/10 → …

Keywords

  • Spiking neural networks
  • image segmentation
  • visual system
  • visual image

Fingerprint Dive into the research topics of 'Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System'. Together they form a unique fingerprint.

  • Cite this

    Wu, Q., McGinnity, TM., Maguire, L., Valderrama, G., & Dempster, P. (2010). Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System. In D-S. Huang (Ed.), Unknown Host Publication (pp. 49-57). Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-642-14922-1_7