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Communication Dans Un Congrès Année : 2013

Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling

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Résumé

We propose a method for interactive image segmentation. We construct a weighted graph that represents the superpixels and the connections between them. An efficient algorithm for graph clustering based on synthetic coordinates is used yielding an initial map of classified pixels. The proposed method minimizes a min-max Bayesian criterion that has been successfully used on image segmentation problem taking into account visual information as well as the given markers. Experimental results and comparisons with other methods demonstrate the high performance of the proposed scheme.

Dates et versions

hal-00865703 , version 1 (24-09-2013)

Identifiants

Citer

Costas Panagiotakis, Harris Papadakis, Elias Grinias, Nikos Komodakis, Paraskevi Fragopoulou, et al.. Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling. 15th International Conference on Computer Analysis of Images and Patterns (CAIP 2013), Aug 2013, York, United Kingdom. pp.589-596, ⟨10.1007/978-3-642-40261-6_71⟩. ⟨hal-00865703⟩
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