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- W2000108006 abstract "The problem of image segmentation is formulated in terms of recursive partitioning of segments into subsegments by optimizing the proposed objective function via graph cuts. Our approach uses a special normalization of the objective function, which enables the production of a hierarchy of regular superpixels that adhere to image boundaries. To enforce compactness and visual homogeneity of segments a regularization strategy is proposed. Experiments on the Berkeley dataset show that the proposed algorithm is comparable in its performance to the state-of-the-art superpixel methods." @default.
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- W2000108006 date "2015-01-01" @default.
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- W2000108006 title "A graph based approach to hierarchical image over-segmentation" @default.
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- W2000108006 doi "https://doi.org/10.1016/j.cviu.2014.09.007" @default.
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