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Comparative Analysis of Accuracy of Fuzzy Clustering Methods Applied for Image Processing

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Multimedia and Network Information Systems (MISSI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 833))

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Abstract

Fuzzy C-Means (FCM) has been used in different aspects of machine learning, specifically in clustering and image processing. Several modified versions of FCM have been proposed to improve the accuracy. This paper also makes use of FCM in image processing using a new membership function applied in Bounded Fuzzy Possibilistic Method (BFPM) to provide a more flexible search space for data points with respect to all clusters. The method is proposed with regard to the challenges with conventional fuzzy methods. The paper evaluates the accuracy of BFPM in its partitioning strategy and membership assignments in compare with other advanced fuzzy, possibilistic, and other prototype-based partitioning methods. Promising results of tests performed on the benchmark image dataset Libras prove that BFPM performs better than other conventional methods.

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Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland

    Hossein Yazdani & Kazimierz Choroś

Authors
  1. Hossein Yazdani
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  2. Kazimierz Choroś
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Corresponding author

Correspondence to Kazimierz Choroś .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Kazimierz Choroś

  2. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Marek Kopel

  3. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Elżbieta Kukla

  4. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Andrzej Siemiński

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Yazdani, H., Choroś, K. (2019). Comparative Analysis of Accuracy of Fuzzy Clustering Methods Applied for Image Processing. In: Choroś, K., Kopel, M., Kukla, E., Siemiński, A. (eds) Multimedia and Network Information Systems. MISSI 2018. Advances in Intelligent Systems and Computing, vol 833. Springer, Cham. https://doi.org/10.1007/978-3-319-98678-4_11

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