Gray-Level Image Transitions Driven by Tsallis Entropic Index

Gray-Level Image Transitions Driven by Tsallis Entropic Index

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Author(s): Amelia Carolina Sparavigna

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DOI: 10.18483/ijSci.621 356 899 16-25 Volume 4 - Feb 2015


The maximum entropy principle is largely used in thresholding and segmentation of images. Among the several formulations of this principle, the most effectively applied is that based on Tsallis non-extensive entropy. Here, we discuss the role of its entropic index in determining the thresholds. When this index is spanning the interval (0,1), for some images, the values of thresholds can have large leaps. In this manner, we observe abrupt transitions in the appearance of corresponding bi-level or multi-level images. These gray-level image transitions are analogous to order or texture transitions observed in physical systems, transitions which are driven by the temperature or by other physical quantities.


Tsallis Entropy, Image Processing, Image Segmentation, Image Thresholding, Texture Transitions, Medical Image Processing


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International Journal of Sciences is Open Access Journal.
This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Author(s) retain the copyrights of this article, though, publication rights are with Alkhaer Publications.

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