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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Masland, R.H.: The fundamental plan of the retina. Nature Neurosci. 4, 877–886 (2001)
Wassle, H.: Parallel processing in the mammalian retina. Nature Rev. Neurosci. 5, 747–757 (2004)
Nelson, R., Kolb, H.: On and off pathways in the vertebrate retina and visual system. In: Chalupa, L.M., Werner, J.S. (eds.) The Visual Neurosciences, pp. 260–278. MIT Press, Cambridge (2003)
Demb, J.B.: Cellular mechanisms for direction selectivity in the retina. Neuron 55, 179–186 (2007)
Taylor, W.R., Vaney, D.I.: New directions in retinal research. Trends Neurosci. 26, 379–385 (2003)
Kandel, E.R., Shwartz, J.H.: Principles of neural science. Edward Amold Ltd. (1981)
Koch, C.: Biophysics of Computation: Information Processing in Single Neurons. Oxford University Press, Oxford (1999)
Dayan, P., Abbott, L.F.: Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. The MIT Press, Cambridge (2001)
Gerstner, W., Kistler, W.: Spiking Neuron Models: Single Neurons, populations, Plasticity. Cambridge University Press, Cambridge (2002)
Wu, Q.X., McGinnity, T.M., Maguire, L.P., Belatreche, A., Glackin, B.: 2D Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Mechanism. Journal of Neural Networks 21, 1318–1327 (2008)
Wu, Q.X., McGinnity, T.M., Maguire, L.P., Belatreche, A., Glackin, B.: Processing Visual Stimuli Using Hierarchical Spiking Neural Networks. International Journal of Neurocomputing 71, 2055–2068 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wu, Q., McGinnity, T.M., Maguire, L., Valderrama-Gonzalez, G.D., Dempster, P. (2010). Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-14922-1_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14921-4
Online ISBN: 978-3-642-14922-1
eBook Packages: Computer ScienceComputer Science (R0)