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International Workshop on Computer Vision for Biomedical Image Applications

CVBIA 2005: Computer Vision for Biomedical Image Applications pp 160–169Cite as

A Novel Unsupervised Segmentation Method for MR Brain Images Based on Fuzzy Methods

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3765))

Abstract

Image segmentation is an important research topic in image processing and computer vision community. In this paper, we present a novel segmentation method based on the combination of fuzzy connectedness and adaptive fuzzy C means (AFCM). AFCM handles intensity inhomogeneities problem in magnetic resonance images (MRI) and provides effective seeds for fuzzy connectedness simultaneously. With the seeds selected, fuzzy connectedness method is applied. As fuzzy connectedness method makes full use of the inaccuracy and ‘hanging togetherness’ property of MRI, our new method behaves well in both simulated and real images.

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Author information

Authors and Affiliations

  1. Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University (SJTU), Shanghai, 200030, P.R.China

    Xian Fan, Jie Yang, Yuanjie Zheng & Lishui Cheng

  2. Department of Biomedical Engineering, Yale University, New Haven, CT, USA

    Yun Zhu

Authors
  1. Xian Fan
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  2. Jie Yang
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  3. Yuanjie Zheng
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  4. Lishui Cheng
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  5. Yun Zhu
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Editor information

Editors and Affiliations

  1. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA

    Yanxi Liu

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, People’s Republic of China

    Tianzi Jiang

  3. State Key Laboratory for Intelligent Technology and Systems, Department of Automation, Faculty of Information Science and Technology, Tsinghua University, 100084, Beijing, China

    Changshui Zhang

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Fan, X., Yang, J., Zheng, Y., Cheng, L., Zhu, Y. (2005). A Novel Unsupervised Segmentation Method for MR Brain Images Based on Fuzzy Methods. In: Liu, Y., Jiang, T., Zhang, C. (eds) Computer Vision for Biomedical Image Applications. CVBIA 2005. Lecture Notes in Computer Science, vol 3765. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569541_17

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  • DOI: https://doi.org/10.1007/11569541_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29411-5

  • Online ISBN: 978-3-540-32125-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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