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Shannon, Tsallis And Kaniadakis Entropies In Bi-level Image Thresholding

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  • Amelia Carolina Sparavigna

Abstract

The maximum entropy principle is often used for bi-level or multi-level thresholding of images. For this purpose, some methods are available based on Shannon and Tsallis entropies. In this paper, we discuss them and propose a method based on Kaniadakis entropy.

Suggested Citation

  • Amelia Carolina Sparavigna, 2015. "Shannon, Tsallis And Kaniadakis Entropies In Bi-level Image Thresholding," International Journal of Sciences, Office ijSciences, vol. 4(02), pages 35-43, February.
    • Handle: RePEc:adm:journl:v:4:y:2015:i:2:p:35-43
    DOI: 10.18483/ijSci.626
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    References listed on IDEAS

    as
    1. Amelia Carolina Sparavigna, 2015. "Gray-Level Image Transitions Driven by Tsallis Entropic Index," International Journal of Sciences, Office ijSciences, vol. 4(02), pages 16-25, February.
    2. Yamano, Takuya, 2002. "Some properties of q-logarithm and q-exponential functions in Tsallis statistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 305(3), pages 486-496.
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    Cited by:

    1. Amelia Carolina Sparavigna, 2015. "Mutual Information and Nonadditive Entropies: The Case of Tsallis Entropy," International Journal of Sciences, Office ijSciences, vol. 4(10), pages 1-4, October.
    2. Amelia Carolina Sparavigna, 2019. "Composition Operations of Generalized Entropies Applied to the Study of Numbers," International Journal of Sciences, Office ijSciences, vol. 8(04), pages 87-92, April.

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