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An Improved FCM Algorithm for Image Segmentation

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Rough Set and Knowledge Technology (RSKT 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6401))

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Abstract

A novel image segmentation method based on modified fuzzy c-means (FCM) is proposed in this paper. By using the neighborhood pixels as spatial information, a spatial constraint penalty term is added in the objective function of standard FCM to improve the robustness. Meanwhile, the neighbor pixels information is used selectively to reduce computing time and iterations. Experiments on real images segmentation proved the availability of the improvement.

This work is supported by the National Natural Science Foundation of China No.60773062, the Natural Science Foundation of Hebei Province of China No.F2009000215 and Scientific Research Plan Projects of Hebei Educational Bureau No.2008312.

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Author information

Authors and Affiliations

  1. College of Electronic and Information Engineering, Hebei University, Baoding, 071002, China

    Kunlun Li, Zheng Cao & Ming Liu

  2. Department of Electrical and Mechanical Engineering, Baoding Vocational and Technical College, Baoding, 071002, China

    Liping Cao

Authors
  1. Kunlun Li
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  2. Zheng Cao
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  3. Liping Cao
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  4. Ming Liu
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Editor information

Editors and Affiliations

  1. School of Computer and Information Technology, Beijing Jiaotong University, 100044, Beijing, China

    Jian Yu

  2. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco

  3. Department of Mathematics and Computing Science, Saint Mary’s University, B3H 3C3, Halifax, Nova Scotia, Canada

    Pawan Lingras

  4. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, 400065, Chongqing, China

    Guoyin Wang

  5. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

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© 2010 Springer-Verlag Berlin Heidelberg

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Li, K., Cao, Z., Cao, L., Liu, M. (2010). An Improved FCM Algorithm for Image Segmentation. In: Yu, J., Greco, S., Lingras, P., Wang, G., Skowron, A. (eds) Rough Set and Knowledge Technology. RSKT 2010. Lecture Notes in Computer Science(), vol 6401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16248-0_75

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  • DOI: https://doi.org/10.1007/978-3-642-16248-0_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16247-3

  • Online ISBN: 978-3-642-16248-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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