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

被引：183
|
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
收藏
页码：1149 / 1161
页数：13
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