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Author:

Chen, Yupu (Chen, Yupu.) | Qiao, Yuanhua (Qiao, Yuanhua.) (Scholars:乔元华) | Miao, Jun (Miao, Jun.)

Indexed by:

EI Scopus

Abstract:

In this paper, the locally coupled neural oscillator model and power spectrum are introduced to solve the color image segmentation problem. Firstly the single neuron oscillator model is developed, the model parameter is set so as to create limit circle simulating the activity of neuron. Then the locally coupled network model is developed, taking R, G, Bas external input separately, the network output three dynamic orbits representing R, G, B for each image point. Lastly, the power spectrum of the orbits is calculated for each image point, the color image is segmented using the calculated power spectrum. The performance is comparable to the results from other segmentation methods. © (2013) Trans Tech Publications, Switzerland.

Keyword:

Image segmentation Materials science Power spectrum Estimation Vision Neural networks Manufacture Neurons

Author Community:

  • [ 1 ] [Chen, Yupu]College of Applied Sciences, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Qiao, Yuanhua]College of Applied Sciences, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Miao, Jun]Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China

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Source :

ISSN: 1022-6680

Year: 2013

Volume: 621

Page: 364-369

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 14

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