Image Segmentation Based on Two-Dimensional Inter-Class Cross Entropy and Chaos Optimization Algorithm

被引：1
|
作者：
Zhang Xinming [1 ]
Zhang Huiyun [1 ]
机构：
[1] Henan Normal Univ, Coll Comp & Informat Technol, Xinxiang 453007, Peoples R China
来源：
2009 INTERNATIONAL FORUM ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 2, PROCEEDINGS | 2009年
关键词：
image segmentation; two-dimensional cross entropy; chaos optimization algorithm; thresholding;
D O I：
10.1109/IFITA.2009.517
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a thresholding technique based on two-dimensional inter-class cross entropy and chaos optimization algorithm (COA) is presented. Firstly, adopt the cross entropy approach to describe the difference in pixel information between the object and the background in a two-dimensional histogram and to use maximum inter-class separation degree. Then apply improved COA to get the threshold value, which can get global solution with low computational load. Experimental results show the proposed approach is effective and gets competitive visual effects.
引用
收藏
页码：319 / 322
页数：4
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