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A new image segmentation combining hidden Markov trees model with Bayesian approach

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成果类型:
期刊论文
作者:
Jinpeng Tang;Zhuanzheng Zhao
作者机构:
[Jinpeng Tang] Department of Computer, Hunan University of International Economics, Changsha, China
[Zhuanzheng Zhao] Department of mathematics, Hunan City University, Yiyang, China
语种:
英文
期刊:
2010 Second International Conference on Communication Systems, Networks and Applications
年:
2010
卷:
2
页码:
220-223
机构署名:
本校为其他机构
院系归属:
理学院
摘要:
The traditional Markov trees model used in image segmentation has several disadvantages, such as too much time and no convergence. Aiming at this disadvantage, a new image segmentation combining hidden Markov trees model with Bayesian approaches is proposed. Firstly, establish the label field update model according to the image grey distribution, then update the label field so that the convergence speed has been accelerated. It is...

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