CVFeb 23, 2015
Shannon, Tsallis and Kaniadakis entropies in bi-level image thresholding
arXiv:1502.06556v119 citations
Originality Synthesis-oriented
AI Analysis
This work is incremental, as it applies a known entropy type to an existing image processing task without demonstrating broad improvements.
The paper addresses the problem of bi-level image thresholding by proposing a method based on Kaniadakis entropy, building upon existing approaches that use Shannon and Tsallis entropies, but no concrete numerical results are provided in the 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.