Shannon, Tsallis and Kaniadakis entropies in bi-level image thresholding

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.

Keywords: Kaniadakis Entropy, Image Processing, Image Segmentation, Image Thresholding, Texture Transitions

References in corpus (2)

• Theoretical foundations and mathematical formalism of the power-law tailed statistical distributions
• Gray-Level Image Transitions Driven by Tsallis Entropic Index

Cited by in corpus (1)

• Effects of GIMP Retinex Filtering Evaluated by the Image Entropy