Three-level gray-scale images segmentation using non-extensive entropy

被引：4

作者：

El-Fegh, I. ^{[1
]}

Galhoud, M. ^{[2
]}

Sid-Aadhmed, M. A. ^{[3
]}

机构：

[1] Higher Ind Inst, Misurata Libya, Libya

[2] A1 Fateh Univ, Ece Dept, Tripoli, Libya

[3] Univ Windsor, Windsor, ON N9B 3P4, Canada

来源：

COMPUTER GRAPHICS, IMAGING AND VISUALISATION: NEW ADVANCES | 2007年

关键词：

D O I：

10.1109/CGIV.2007.83

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The segmentation of images into meaningful and homogenous regions is a crucial step in many image analysis applications. In this paper, we present a three-level thresholding method for image segmentation. The method is based on maximizing non-extensive entropy. After segmentation, the output image will consist of three homogenous regions, namely, dark, gray and white. The threshold value for each region is decided by maximizing an extended form of Tsallis entropy. To improve the performance of the proposed algorithm, an efficient and computationally fast method for initializing the search for maximum entropy is also presented. Results obtained using the proposed algorithm are compared with those obtained using Shannon entropy.

引用

页码：304 / +

页数：2

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