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作者:

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

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EI Scopus

摘要:

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.

关键词:

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

作者机构:

  • [ 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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来源 :

ISSN: 1022-6680

年份: 2013

卷: 621

页码: 364-369

语种: 英文

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