An improvement on competitive neural networks applied to image segmentation

  • Authors:
  • Rui Yan;Meng Joo Er;Huajin Tang

  • Affiliations:
  • Intelligent Systems Center, Nanyang Technical University, Singapore;Intelligent Systems Center, Nanyang Technical University, Singapore;Department of Electrical and Computer Engineering, National University of Singapore, Singapore

  • Venue:
  • ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
  • Year:
  • 2006

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Abstract

Image segmentation is a long existing problem and still regarded as unsolved to a large extent in computer vision. This letter describes the modeling method of competitive neural networks and elucidates its connection with the Hopfield type optimization network. A new algorithm to map the image segmentation problem onto competitive networks is proposed and its convergence is shown by the stability analysis. Finally, the improvement on the competitive neural networks based method is validated by the simulation results.