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International Conference on Fuzzy Systems and Knowledge Discovery

FSKD 2006: Fuzzy Systems and Knowledge Discovery pp 894–897Cite as

Texture Segmentation by Fuzzy Clustering of Spatial Patterns

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4223))

Abstract

An approach to perceptual segmentation of textured images by fuzzy clustering of spatial patterns is proposed in this paper. The dissimilarity between a texture feature, which is modeled as a spatial pattern, and each cluster is calculated as a combination of the Euclidean distance in the feature space and the spatial dissimilarity, which reflects how much of the pattern’s neighborhood is occupied by other clusters. The proposed algorithm has been applied to the segmentation of texture mosaics. The results of comparative experiments demonstrate that the proposed approach can segment textured images more effectively and provide more robust segmentations.

This research is partially supported by the HK-RGC grant, the ARC grant, the NSFC under Grant No. 60141002, and the ASFC under Grant No. 02I53073.

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References

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Author information

Authors and Affiliations

  1. School of Computer, Northwestern Polytechnical University, Xi’an, 710072, China

    Yong Xia, Rongchun Zhao & Yanning Zhang

  2. School of Automatic Control, Northwestern Polytechnical University, Xi’an, China

    Jian Sun

  3. School of Information Technologies, F09, University of Sydney, NSW, 2006, Australia

    Yong Xia & Dagan Feng

  4. Dept. of Electronic and Information Engineering, Hong Kong Polytechnic University,  

    Dagan Feng

Authors
  1. Yong Xia
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  2. Rongchun Zhao
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  3. Yanning Zhang
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  4. Jian Sun
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  5. Dagan Feng
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University,, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Life Science Research Center, School of Electronic Engineering, Xidian University,, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  3. School of Electrical and Electronic Engineering, Xidian University, 710071, Xi’an, China

    Guanming Shi

  4. School of Information Technology and Electrical Engineering, The University of Queensland, 4072, Brisbane, Queensland, Australia

    Xue Li

  5. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Xia, Y., Zhao, R., Zhang, Y., Sun, J., Feng, D. (2006). Texture Segmentation by Fuzzy Clustering of Spatial Patterns. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_111

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  • DOI: https://doi.org/10.1007/11881599_111

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45916-3

  • Online ISBN: 978-3-540-45917-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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