The application of a new entropy function and mutative scale chaos optimization strategy in two-dimensional entropic image segmentation

被引：0
|
作者：
Ma, Cheng [1 ]
Liu, Chao [1 ]
Ma, Shaoxian [1 ]
Jiang, Chengshun [1 ]
机构：
[1] Informat Engn Univ, Inst Informat Engn, Zhengzhou 450002, Peoples R China
来源：
2006 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PTS 1 AND 2, PROCEEDINGS | 2006年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/ICCIAS.2006.295341
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel two dimensional entropic image segmentation method is presented in this paper The method makes use of a new entropy function defined in a simple form, which can reduce computational amount notably. And the correctness of the new function is also proved. Then a strategy of mutative scale chaos optimization is adopted to search for the optimal threshold. The results of simulation illustrate that efficiency of segmentation is improved significantly due to the new entropy function and search method.
引用
收藏
页码：1647 / 1652
页数：6
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