DocumentCode
2974268
Title
Nonextensive entropic image thresholding
Author
Esquef, Israel ; Albuquerque, Marcelo ; Abuquerque, MÁrcio
Author_Institution
Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil
fYear
2002
fDate
2002
Firstpage
402
Abstract
In image processing, one of the most efficient techniques for image segmentation is entropy-based thresholding. In this work a generalized entropy formalism that represents a recent development in statistical mechanics was applied. We propose, for the first time, an image thresholding method using a nonextensive entropy regarding the presence of nonadditive information content in image classes. Preliminary results are shown.
Keywords
entropy; image segmentation; statistical mechanics; generalized entropy formalism; image segmentation; nonadditive information content; nonextensive entropic image thresholding; statistical mechanics; Application software; Computer graphics; Entropy; Equations; Gray-scale; Image processing; Image recognition; Image segmentation; Probability distribution; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics and Image Processing, 2002. Proceedings. XV Brazilian Symposium on
ISSN
1530-1834
Print_ISBN
0-7695-1846-X
Type
conf
DOI
10.1109/SIBGRA.2002.1167174
Filename
1167174
Link To Document