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An Improved Image Segmentation Approach Based on Pulse Coupled Neural Network

  • Yongxing Lin
  • Xiaoyan Xu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 220)

Abstract

In this paper, we introduce a new image auto-segmentation algorithm based on PCNN and fuzzy mutual information (FMI). The image was first segmented by PCNN, and then the FMI was used as the optimization criterion to automatically stop the segmentation with the optimal result. The experimental results demonstrated that the CT and ultrasound images could be well segmented by the proposed algorithm with strong robustness against noise. The results suggest that the proposed algorithm can be used for medical image segmentation.

Keywords

Image segmentation Pulse coupled neural network Fuzzy mutual information 

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Zhejiang Science and Technology UniversityHangzhouChina
  2. 2.Zhejiang SUPCON Technology Co., LtdHangzhouChina

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