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Image Segmentation Using Watershed Transform and Feed-Back Pulse Coupled Neural Network

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Artificial Neural Networks: Biological Inspirations – ICANN 2005 (ICANN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3696))

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Abstract

This paper presents a novel approach for image segmentation with the fusion of morphological watershed transform(WST) and feed-back pulse coupled neural network (FPCNN). FPCNN is used as a pre-processor to locate the markers in the image automatically. Controlled by markers, WST can be applied to segment the image without over-segmentation problem.

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References

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Author information

Authors and Affiliations

  1. University of Guelph, Guelph, Ontario, N1G 2W1, Canada

    Yiyan Xue & Simon X. Yang

Authors
  1. Yiyan Xue
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  2. Simon X. Yang
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Editor information

Editors and Affiliations

  1. Department of Informatics, Nicolaus Copernicus University, Toruń, Poland

    Włodzisław Duch

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01–447, Warsaw, Poland

    Janusz Kacprzyk

  3. Adaptive Informatics Research Centre, Helsinki University of Technology, P.O. Box 5400, 02015 HUT, Finland

    Erkki Oja

  4. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Sławomir Zadrożny

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© 2005 Springer-Verlag Berlin Heidelberg

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Xue, Y., Yang, S.X. (2005). Image Segmentation Using Watershed Transform and Feed-Back Pulse Coupled Neural Network. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Biological Inspirations – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550822_83

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  • DOI: https://doi.org/10.1007/11550822_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28752-0

  • Online ISBN: 978-3-540-28754-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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