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Entropy based bi-region image segmentation

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成果类型:
期刊论文
作者:
Zuo, Jingwen;Chen, Yuantao;Wu, Jiaying
通讯作者:
Zuo, J.(zojw@qq.com)
作者机构:
[Zuo, Jingwen] Computer Center, College of ChengNan, Changsha University of Science and Technology, Changsha 410076, China
[Chen, Yuantao; Wu, Jiaying] School of Computer and Telecommunication Engineering, Changsha University of Science and Technology, Changsha 410114, China
[Chen, Yuantao; Wu, Jiaying] School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China
通讯机构:
Computer Center, College of ChengNan, Changsha University of Science and Technology, China
语种:
英文
关键词:
Entropy;Image segmentation entropy;Iterative graph cut algorithm
期刊:
The Journal of Information and Computational Science
ISSN:
1548-7741
年:
2011
卷:
8
期:
14
页码:
3123-3130
机构署名:
本校为第一且通讯机构
院系归属:
计算机与通信工程学院
城南学院
摘要:
Image segmentation plays an important part in the areas of multimedia, image processing and computer vision. In the paper, we propose a novel image segmentation approach based on the entropy. Specifically, the image segmentation entropy (ISE) is firstly defined to describe the information of the image. Then, we further prove that the image after segmentation have the minimum ISE, if the image is correctly partitioned. In the following, the image segmentation problem is cast into an optimization problem which minimizes ISE. Finally, we propose an iterative graph cut algorithm (IGCA) to solve th...

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