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Unsupervised Segmentation on Image with JSEG Using Soft Class Map

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Book cover Intelligent Data Engineering and Automated Learning – IDEAL 2004 (IDEAL 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3177))

Abstract

Soft class map is presented for JSEG. The definitions of J values etc. in JSEG are adjusted correspondingly. The method of constructing soft class map is provided. JSEG with soft class map is a more robust method in unsupervised image segmentation compared with the original JSEG method. Our method can segment correctly image in which there exists color smooth transition in underlying object region.

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Author information

Authors and Affiliations

  1. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China, 200030

    Yuanjie Zheng, Jie Yang & Yue Zhou

Authors
  1. Yuanjie Zheng
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  2. Jie Yang
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  3. Yue Zhou
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Editor information

Editors and Affiliations

  1. School of Engineering, Computing, and Mathematics, University of Exeter, EX4 4QF, Exeter, UK

    Zheng Rong Yang

  2. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  3. School of Engineering, Computer Science and Mathematics, University of Exeter, EX4 4QF, UK

    Richard M. Everson

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© 2004 Springer-Verlag Berlin Heidelberg

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Zheng, Y., Yang, J., Zhou, Y. (2004). Unsupervised Segmentation on Image with JSEG Using Soft Class Map. In: Yang, Z.R., Yin, H., Everson, R.M. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2004. IDEAL 2004. Lecture Notes in Computer Science, vol 3177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28651-6_29

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  • DOI: https://doi.org/10.1007/978-3-540-28651-6_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22881-3

  • Online ISBN: 978-3-540-28651-6

  • eBook Packages: Springer Book Archive

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