Multicue graph mincut for image segmentation

Wei Feng, Lei Xie, Zhi Qiang Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

We propose a general framework to encode various grouping cues for natural image segmentation. We extend the classical Gibbs energy of an MRF to three terms: likelihood energy, coherence energy and separating energy. We encode generative cues in the likelihood and coherence energy to ensure the goodness and feasibility of segmentation, and embed discriminative cues in the separating energy to encourage assigning two pixels with strong separability with different labels. We use a self-validated process to iteratively minimize the global Gibbs energy. Our approach is able to automatically determine the number of segments, and produce a natural hierarchy of coarse-to-fine segmentation. Experiments show that our approach works well for various segmentation problems, and outperforms existing methods in terms of robustness to noise and preservation of soft edges.

源语言英语
主期刊名Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers
707-717
页数11
版本PART 2
DOI
出版状态已出版 - 2010
活动9th Asian Conference on Computer Vision, ACCV 2009 - Xi'an, 中国
期限: 23 9月 200927 9月 2009

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号PART 2
5995 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议9th Asian Conference on Computer Vision, ACCV 2009
国家/地区中国
Xi'an
时期23/09/0927/09/09

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