吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 244-248.

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Visual scene segmentation based on neural oscillator network

LIU Xiao-jie1, JIN Zhuo2, SONG Zhan-wei3, ZHANG Min4, SHEN Lin1   

  1. 1. College of Electric Information Engineering, Jiangsu University of Technology, Changzhou 213001, China;
    2. Jilin Provincial Communication Management Bureau, Changchun 130001, China;
    3. College of Electronic Science and Engineering, Jilin University, Changchun 130012, China;
    4. College of Computer Engineering, Jiangsu Teachers University of Technology, Changzhou 213001, China
  • Received:2012-05-17 Published:2013-06-01

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Abstract:

To solve the consistency problem of divided visual scenes,the neural oscillator network was established by the neural oscillation correlation theory in neural and brain science.The visual scene segmentation was implemented based on the neural mechanism, which was under the corresponding stimulation,the neurons became synchronized between same objects,and the neurons became synchronized between different objects.The experiment results by computer simulations show that the better visual scene segmentation is achieved by the system parameters adjusted.This method is superior to the traditional scene segmentation method in the implementation.

Key words: neural oscillator network, scene segmentation, oscillatory correlation

CLC Number: 

  • TN911.73

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