Nonextensive entropic image thresholding

被引：3

作者：

Esquef, I ^{[1
]}

Albuquerque, M ^{[1
]}

Abuquerque, M ^{[1
]}

机构：

[1] Ctr Brasileiro Pesquisas Fis, BR-22290 Rio De Janeiro, RJ, Brazil

来源：

SIBGRAPI 2002: XV BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, PROCEEDINGS | 2002年

关键词：

D O I：

10.1109/SIBGRA.2002.1167174

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：402 / 402

页数：1