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Pyramid segmentation algorithms revisited
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Combining local belief from low-level primitives for perceptual grouping
Pattern Recognition
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This paper implements a fast bottom-up approach for perceptual grouping. The proposal consists of two main stages: firstly, it detects the homogeneous blobs of the input image using a color-based distance and then, it hierarchically merges these blobs according to a set of energy functions. Both stages are performed over the Bounded Irregular Pyramid. The performance of the proposed algorithm has been quantitatively evaluated with respect to ground---truth segmentation data.