Title :
Nonextensive entropic image thresholding
Author :
Esquef, Israel ; Albuquerque, Marcelo ; Abuquerque, MÁrcio
Author_Institution :
Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brazil
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;
Conference_Titel :
Computer Graphics and Image Processing, 2002. Proceedings. XV Brazilian Symposium on
Print_ISBN :
0-7695-1846-X
DOI :
10.1109/SIBGRA.2002.1167174
