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A Two-Dimensional Entropic Approach to Intuitionistic Fuzzy Contrast Enhancement

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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

This paper presents a generalized approach to the intuitionistic fuzzification of gray-scale images. Parametric membership and non-membership functions are applied in order to derive the optimal representation of the image in the intuitionistic fuzzy domain. A two-dimensional intuitionistic fuzzy entropy measure is employed as the optimization criterion for driving the aforementioned procedure. Finally, experimental results demonstrate the ability of the proposed method to efficiently enhance low-contrasted gray-scale images.

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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). A Two-Dimensional Entropic Approach to Intuitionistic Fuzzy Contrast Enhancement. 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_40

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  • DOI: https://doi.org/10.1007/978-3-540-73400-0_40

  • 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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