Two-stage SAR image segmentation framework with an efficient union filter and multi-objective kernel clustering
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- 作者：Dongdong Yanga ; Rong Feia ; annyfei@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; ddyang@mail.xidian.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Junliang Yaoa ; Maoguo Gongb
- 关键词：Artificial intelligence ; Evolutionary computation ; Multi-objective optimization ; Image segmentation
- 刊名：Applied Soft Computing
- 出版年：2016
- 出版时间：July 2016
- 年：2016
- 卷：44
- 期：Complete
- 页码：30-44
- 全文大小：6250 K
文摘
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A union filter, including maximum likelihood estimator and partial nonlocal means filter, is designed.
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A single-objective searching algorithm in AIS to discover the clustering number of SAR image is presented.
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A multi-objective SAR image segmentation framework in multi-objective kernel clustering is proposed.
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A systematic comparison of different image segmentation methods is given.
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