Nonextensive Entropic Image Thresholding

Authors:
Israel Esquef;Marcelo Albuquerque;Márcio Abuquerque
Affiliations:
-;-;-
Venue:
SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing
Year:
2002

Citing 0
Cited 2

Image thresholding using two-dimensional Tsallis-Havrda-Charvát entropy

Pattern Recognition Letters
Computational applications of nonextensive statistical mechanics

Journal of Computational and Applied Mathematics

Quantified Score

Hi-index	0.00

Visualization

Abstract

In image processing, one of the most efficient techniques for image segmentation is entropy-based thresholding. In this work it was applied a generalized entropy formalism that represents a recent development in statistical mechanics. We propose, for the first time, an image thresholding method using a nonextensive entropy regarding the presence of nonadditive information content in some image classes. Preliminary results are shown.