A thresholding method based on two-dimensional Renyi's entropy

被引：184

作者：

Sahoo, PK ^{[1
]}

Arora, G

机构：

[1] Univ Louisville, Dept Math, Louisville, KY 40292 USA

[2] Xavier Univ, Dept Math, New Orleans, LA 70125 USA

来源：

PATTERN RECOGNITION | 2004年 / 37卷 / 06期

关键词：

Renyi entropy; Shannon entropy; image thresholding; maximum entropy sum method; entropic correlation method; two-dimensional histogram; two-dimensional entropic thresholding method;

D O I：

10.1016/j.patcog.2003.10.008

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a new thresholding technique based on two-dimensional Renyi's entropy. The two-dimensional Renyi's entropy was obtained from the two-dimensional histogram which was determined by using the gray value of the pixels and the local average gray value of the pixels. This new method extends a method due to Sahoo et al. (Pattern Recognition 30 (1997) 71) and includes a previously proposed global thresholding method due to Abutaleb (Pattern Recognition 47 (1989) 22). Further, Our method extends a global thresholding method due to Chang et at. (IEEE Trans. Image Process. 4 (1995) 370) to the two-dimensional setting. The effectiveness of the proposed method is demonstrated by using examples from the real-world and synthetic images. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

引用

页码：1149 / 1161

页数：13

共 64 条

[21] Two-dimensional entropic segmentation [J].