Database-guided simultaneous multi-slice 3d segmentation for volumetric data
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
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This work describes a new segmentation method for robotic soccer applications. The approach called crossed-line segmentation is based on the combination of region classification and a border detector which meet homogeneity criteria of medians. Experiments suggest that the method outperforms traditional procedure in terms of smoothing and segmentation accuracy. Furthermore, existing noise in the images is also observed to be reduced without missing the objects' borders.