Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation
Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation
复制标题
正则化树划分及其在无监督图像分割中的应用
DOI:
10.1109/tip.2014.2307479
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发表时间:
2014-04
期刊:
影响因子:
--
通讯作者:
Long Quan
中科院分区:
文献类型:
--
作者:
Yangqing Jia;Xian-Sheng Hua;Changshui Zhang;Long Quan
In this paper, we propose regularized tree partitioning approaches. We study normalized cut (NCut) and average cut (ACut) criteria over a tree, forming two approaches: 1) normalized tree partitioning (NTP) and 2) average tree partitioning (ATP). We give the properties that result in an efficient algorithm for NTP and ATP. In addition, we present the relations between the solutions of NTP and ATP over the maximum weight spanning tree of a graph and NCut and ACut over this graph. To demonstrate the effectiveness of the proposed approaches, we show its application to image segmentation over the Berkeley image segmentation data set and present qualitative and quantitative comparisons with state-of-the-art methods.
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DOI:
10.1109/tpami.2003.1201819
发表时间:
2003-06-01
影响因子:
23.6
作者:
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通讯作者:
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DOI:
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发表时间:
2008-12
期刊:
2008 15th IEEE International Conference on Image Processing
影响因子:
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影响因子:
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通讯作者:
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发表时间:
2001-12
期刊:
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
影响因子:
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作者:
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通讯作者:
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DOI:
--
发表时间:
2008-12
期刊:
--
影响因子:
--
作者:
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通讯作者:
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