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» Graph Cuts and Efficient N-D Image Segmentation
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ICCV
2001
IEEE
14 years 10 months ago
Segmentation with Pairwise Attraction and Repulsion
We propose a method of image segmentation by integrating pairwise attraction and directional repulsion derived from local grouping and figure-ground cues. These two kinds of pairw...
Stella X. Yu, Jianbo Shi
PAMI
2007
202views more  PAMI 2007»
13 years 8 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
MM
2006
ACM
103views Multimedia» more  MM 2006»
14 years 2 months ago
Progressive cut
Recently, interactive image cutout technique becomes prevalent for image segmentation problem due to its easy-to-use nature. However, most existing stroke-based interactive object...
Chao Wang, Qiong Yang, Mo Chen, Xiaoou Tang, Zhong...
CVPR
2006
IEEE
14 years 10 months ago
Graph Partitioning by Spectral Rounding: Applications in Image Segmentation and Clustering
ct We introduce a new family of spectral partitioning methods. Edge separators of a graph are produced by iteratively reweighting the edges until the graph disconnects into the pre...
David Tolliver, Gary L. Miller
SCIA
2011
Springer
341views Image Analysis» more  SCIA 2011»
12 years 11 months ago
Interactive Image Segmentation Using Level Sets and Dempster-Shafer Theory of Evidence
Abstract. Variational frameworks based on level set methods are popular for the general problem of image segmentation. They combine different feature channels in an energy minimiz...
Björn Scheuermann, Bodo Rosenhahn