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International Conference on Multimedia Modeling

MMM 2016: MultiMedia Modeling pp 432–443Cite as

Dominant Set Based Data Clustering and Image Segmentation

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9516))

Abstract

Clustering is an important approach in image segmentation. While various clustering algorithms have been proposed, the majority of them require one or more parameters as input, making them a little inflexible in practical applications. In order to solve the parameter dependent problem, in this paper we present a parameter-free clustering algorithm based on the dominant sets. We firstly study the influence of regularization parameters on the dominant sets clustering results. As a result, we select an appropriate regularization parameter to generate over-segmentation in clustering results. In the next step we merge clusters based on the relationship between intra-cluster and inter-cluster similarities. While being simple, our algorithm is shown to improve the clustering quality significantly in comparison with the dominant sets algorithm in data clustering and image segmentation experiments. It also performs comparably to or better than some other clustering algorithms with manually selected parameters input.

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Acknowledgments

This work is supported in part by the National Natural Science Foundation of China under Grant No. 61473045 and No. 41371425, and by the Program for Liaoning Innovative Research Team in University (LT2013023).

Author information

Authors and Affiliations

  1. College of Engineering, Bohai University, Jinzhou, 121013, China

    Jian Hou, Chunshi Sha & Lei Chi

  2. School of Information Science, Bohai University, Jinzhou, 121013, China

    Hongxia Cui

Authors
  1. Jian Hou
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  2. Chunshi Sha
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  3. Hongxia Cui
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  4. Lei Chi
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Corresponding author

Correspondence to Jian Hou .

Editor information

Editors and Affiliations

  1. University of Texas at San Antonio, San Antonio, USA

    Qi Tian

  2. Dept. of Information Engineering, University of Trento, Povo, Trento, Italy

    Nicu Sebe

  3. EECS, University of Central Florida, Orlando, Florida, USA

    Guo-Jun Qi

  4. EURECOM, Sophia-Antipolis, France

    Benoit Huet

  5. Hefei University of Technology, Hefei, Anhui, China

    Richang Hong

  6. School of Computing and Information, Hefei University of Technology, Hefei, Anhui, China

    Xueliang Liu

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© 2016 Springer International Publishing Switzerland

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Hou, J., Sha, C., Cui, H., Chi, L. (2016). Dominant Set Based Data Clustering and Image Segmentation. In: Tian, Q., Sebe, N., Qi, GJ., Huet, B., Hong, R., Liu, X. (eds) MultiMedia Modeling. MMM 2016. Lecture Notes in Computer Science(), vol 9516. Springer, Cham. https://doi.org/10.1007/978-3-319-27671-7_36

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  • DOI: https://doi.org/10.1007/978-3-319-27671-7_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27670-0

  • Online ISBN: 978-3-319-27671-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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