Skip to main content
SpringerLink
Log in

Adaptive Image Segmentation Using Modified Pulse Coupled Neural Network

  • Conference paper
Advances in Neural Networks - ISNN 2008 (ISNN 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5264))

Included in the following conference series:

Abstract

This paper proposes a novel image segmentation algorithm based on Pulse Coupled Neural Network (PCNN).Unlike the traditional PCNN image segmentation methods, the presented algorithm can achieve the optimum parameters automatically. Experimental results show its good performance and robustness. The research fruits have great importance both on the theory research and practical application of PCNN.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Eckhorn, R., ReitBoeck, H.J., et al.: Feature Linking via Synchronization among Distributed Assemblies: Simulation of Results Form Cat Visual Cortex. Neural Computation 2, 293–307 (1990)

    Article  Google Scholar 

  2. Johnson, J.L., Padgett, M.L.: PCNN Model and Applications. IEEE Trans. on Neural Networks 10, 480–498 (1999)

    Article  Google Scholar 

  3. Ma, Y.D., Shi, F., Li, L.: Gaussian Noise Filter Based on PCNN. In: IEEE Int. Conf. Neural Networks & Signal Processing, Nanjing, China, pp. 149–151 (2003)

    Google Scholar 

  4. Liu, Q., Ma, Y.D., Qian, Z.B.: Automated Image Segmentation Using Improved PCNN Model Based on Cross-Entropy. Journal of Image and Graphics 10, 579–584 (2005)

    Google Scholar 

  5. Gu, X.D.: Feature Extraction Using Unit-Linking Pulse Coupled Neural Network and Its Applications. Neural Processing Letters 27, 25–41 (2008)

    Article  Google Scholar 

  6. Karvonen, J.A.: Baltic Sea Ice SAR Segmentation and Classification Using Modified Pulse-Coupled Neural Networks. IEEE Trans. Geoscience and Remote Sensing 42, 1566–1574 (2004)

    Article  Google Scholar 

  7. Bi, Y.W., Qiu, T.S.: An Adaptive Image Segmentation Method Based on a Simplified PCNN. ACTA Electronica Sinica 33, 647–650 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Xi’an Research Inst. of Hi-Tech, 710025, Xi’an, China

    Wei Cai & Min Li

  2. The Second Artillery Military Office in Li-Shan Microelectronics Company, 710075, Xi’an, China

    Gang Li

  3. Academy of Armored Force Engineering Department of Information Engineering, 100858, Beijing, China

    Xiaoyan Li

Authors
  1. Wei Cai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Min Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xiaoyan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghu University, 100084, Beijing, China

    Fuchun Sun

  2. Institute TAMS (Technical Aspects of Multimodal Systems), department of Informatics, University of Hamburg, Vogt-Koelln-Straße 30, 22527, Hamburg, Germany

    Jianwei Zhang

  3. Intel China Research Center, 8/F, Peking University, Department of Machine Intelligence, 100871, Beijing, China

    Ying Tan

  4. Department of Mathematics, Southeast University, 210096, Nanjing, China

    Jinde Cao

  5. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, 07360, México D.F., México

    Wen Yu

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cai, W., Li, G., Li, M., Li, X. (2008). Adaptive Image Segmentation Using Modified Pulse Coupled Neural Network. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_90

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-87734-9_90

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87733-2

  • Online ISBN: 978-3-540-87734-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation