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International Conference on Intelligent Computing

ICIC 2015: Advanced Intelligent Computing Theories and Applications pp 275–281Cite as

A Spiking Neural Network for Extraction of Multi-features in Visual Processing Pathways

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9227))

Abstract

Based on spiking neural network and colour visual processing mechanism, a hierarchical network is proposed to extract multi-features from a colour image. The network is constructed with a conductance-based integrate-and-fire neuron model and a set of receptive fields. Inspired by visual system, an image can be decomposed into multiple visual image channels and processed in hierarchical structures. The firing rate map of each channel is computed and recorded. Finally, multi-features are obtained from firing rate map. Simulation results show that the proposed method is successfully applied to recognize the target with a higher recognition rate compared with some other methods.

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Acknowledgments

The authors gratefully acknowledge the fund from the Natural Science Foundation of China (Grant No. 61179011) and Science and Technology Major Projects for Industry-academic Cooperation of Universities in Fujian Province (Grant No. 2013H6008).

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Authors and Affiliations

  1. Key Laboratory of OptoElecronic Science and Technology for Medicine of Ministry of Education, College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350007, Fujian, China

    QiYan Sun, QingXiang Wu, Xuan Wang & Lei Hou

  2. Fujian Agriculture and Forestry University, Fuzhou, 350007, Fujian, China

    QiYan Sun

Authors
  1. QiYan Sun
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  2. QingXiang Wu
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  3. Xuan Wang
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  4. Lei Hou
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Corresponding author

Correspondence to QingXiang Wu .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Incheon, Korea (Republic of)

    Kyungsook Han

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© 2015 Springer International Publishing Switzerland

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Sun, Q., Wu, Q., Wang, X., Hou, L. (2015). A Spiking Neural Network for Extraction of Multi-features in Visual Processing Pathways. In: Huang, DS., Han, K. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2015. Lecture Notes in Computer Science(), vol 9227. Springer, Cham. https://doi.org/10.1007/978-3-319-22053-6_29

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  • DOI: https://doi.org/10.1007/978-3-319-22053-6_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22052-9

  • Online ISBN: 978-3-319-22053-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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