Thresholding using two-dimensional histogram and fuzzy entropy principle

被引：109

作者：

Cheng, HD ^{[1
]}

Chen, YH ^{[1
]}

Jiang, XH ^{[1
]}

机构：

[1] Utah State Univ, Dept Comp Sci, Logan, UT 84322 USA

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2000年 / 9卷 / 04期

关键词：

fuzzy region; fuzzy relations; maximum fuzzy entropy principle; threshold; 2-D histogram;

D O I：

10.1109/83.841949

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a thresholding approach by performing fuzzy partition on a two-dimensional (2-D) histogram based on fuzzy relation and maximum fuzzy entropy principle. The experiments with various gray level and color images have demonstrated that the proposed approach outperforms the 2-D nonfuzzy approach and the one-dimensional (1-D) fuzzy partition approach.

引用

页码：732 / 735

页数：4

共 7 条

[1] THRESHOLDING OF DIGITAL IMAGES USING 2-DIMENSIONAL ENTROPIES [J].