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

TL;DR

This paper compares Shannon and Tsallis entropies and introduces a new bi-level image thresholding method based on Kaniadakis entropy, expanding the entropy-based thresholding techniques.

Contribution

It presents a novel thresholding method using Kaniadakis entropy and discusses existing Shannon and Tsallis entropy approaches.

Findings

Kaniadakis entropy provides an effective alternative for image thresholding.

The proposed method enhances thresholding performance over traditional entropy-based methods.

Comparison results demonstrate the viability of Kaniadakis entropy in image processing.

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.