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ICMLA
2008

Image Segmentation as Learning on Hypergraphs

10 years 4 days ago
Image Segmentation as Learning on Hypergraphs
In this paper, we propose to use hypergraphs as the model for images and pose image segmentation as a machine learning problem in which some pixels (called seeds) are labeled as the objects and background. Using the seed pixels, our method predicts the labels for all unlabeled pixels. We present the relations of the proposed method to other hypergraph based learning techniques. We give an adaptive procedure for constructing image hypergraphs and achieve promising results on a real image dataset.
Lei Ding, Alper Yilmaz
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ICMLA
Authors Lei Ding, Alper Yilmaz
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