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An Overview of Image Segmentation Based on Pulse-Coupled Neural Network

  • Jing LianEmail author
  • Zhen Yang
  • Jizhao Liu
  • Wenhao Sun
  • Li Zheng
  • Xiaogang Du
  • Zetong Yi
  • Bin Shi
  • Yide Ma
Original Paper
  • 24 Downloads

Abstract

Recent many researchers focus on image segmentation methods due to the rapid development of artificial intelligence technology. Hereinto, pulse-coupled neural network (PCNN) has a great potential based on the properties of neuronal activities. This paper elaborates internal behaviors of the PCNN to exhibit its image segmentation abilities. There are three significant parts: dynamic properties, parameter setting and complex PCNN. Further, we systematically provide the related segmentation contents of the PCNN, and hope to help researchers to understand suitable segmentation applications of PCNN models. Many corresponding examples are also used to exhibit PCNN segmentation effects.

Notes

Acknowledgments

The authors thank all the reviewers for their valuable comments, which further improved the quality of the paper. This study was funded National Natural Science Foundation of China (Grant Nos. 61175012, 61962034 and 61861024), Natural Science Foundation of Gansu Province of China (Grant Nos. 148RJZA044 and 18JR3RA288) and Youth Foundation of Lanzhou Jiaotong University of China (Grant No. 2014005).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© CIMNE, Barcelona, Spain 2019

Authors and Affiliations

  • Jing Lian
    • 1
    • 2
    Email author
  • Zhen Yang
    • 1
    • 2
  • Jizhao Liu
    • 3
  • Wenhao Sun
    • 1
    • 2
  • Li Zheng
    • 1
  • Xiaogang Du
    • 1
  • Zetong Yi
    • 1
  • Bin Shi
    • 4
  • Yide Ma
    • 2
  1. 1.School of Electronic and Information EngineeringLanzhou Jiaotong UniversityLanzhouPeople’s Republic of China
  2. 2.School of Information Science and EngineeringLanzhou UniversityLanzhouPeople’s Republic of China
  3. 3.School of Data Science and Computer ScienceSun Yat-sen UniversityGuangzhouPeople’s Republic of China
  4. 4.Equipment Management DepartmentGansu Provincial HospitalLanzhouPeople’s Republic of China

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