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Intuitionistic Fuzzy Histogram Hyperbolization for Color Images

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Applications of Fuzzy Sets Theory (WILF 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4578))

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Abstract

In this paper an extension of the Intuitionistic Fuzzy Image Processing (IFIP) framework from gray-scale to color images is presented. Analysis and synthesis of images into their corresponding intuitionistic fuzzy components is demonstrated using a suitable color model. Additionally, application of the proposed framework to histogram hyperbolization is also shown. Finally, experimental results demonstrate the efficiency of the proposed scheme.

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Authors and Affiliations

  1. Aristotle University of Thessaloniki, Faculty of Technology, Department of Electrical & Computer Engineering, Telecommunications Division, University Campus, GR–54124, Thessaloniki, Greece

    Ioannis K. Vlachos & George D. Sergiadis

Authors
  1. Ioannis K. Vlachos
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  2. George D. Sergiadis
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Francesco Masulli Sushmita Mitra Gabriella Pasi

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© 2007 Springer-Verlag Berlin Heidelberg

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Vlachos, I.K., Sergiadis, G.D. (2007). Intuitionistic Fuzzy Histogram Hyperbolization for Color Images. In: Masulli, F., Mitra, S., Pasi, G. (eds) Applications of Fuzzy Sets Theory. WILF 2007. Lecture Notes in Computer Science(), vol 4578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73400-0_41

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  • DOI: https://doi.org/10.1007/978-3-540-73400-0_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73399-7

  • Online ISBN: 978-3-540-73400-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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