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A local-based level set algorithm with shape apriori for image segmentation

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成果类型:
期刊论文
作者:
Xiao, Weichu;Chen, Weihong
通讯作者:
Xiao, W.
作者机构:
[Xiao, Weichu] School of Communication and Electronic Engineering, Hunan City University, Yiyang 413002, Hunan, China
[Chen, Weihong] School of Information Science and Engineering, Hunan City University, Yiyang 413002, Hunan, China
通讯机构:
[Xiao, W.] S
School of Communication and Electronic Engineering, , Yiyang 413002, Hunan, China
语种:
英文
关键词:
Image segmentation;Level set method;Local image information;Shape apriori
期刊:
International Journal of Applied Mathematics & Statistics
ISSN:
0973-1377
年:
2013
卷:
45
期:
15
页码:
404-412
机构署名:
本校为第一机构
院系归属:
信息与电子工程学院
摘要:
Level image segmentation method taking into account only the image data, and therefore covered the target, and similar to the background gray target to achieve the desired segmentation results. To address this issue, based on the edge and regional information, Apriori level set image segmentation methods. Firstly, the area of the image information into the edge-based level set method. Then we combined with the shape Apriori. Comparative experiment the surface of this method due to consider a variety of local information, are better able to complete the objectives to be covered split, similar t...

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