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- Malmberg, Filip, 1980-, et al.
(författare)
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Sub-pixel Segmentation with the Image Foresting Transform
- 2009
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Ingår i: Proceedings of International Workshop on Combinatorial Image Analysis. - Berlin, Heidelberg : Springer. - 9783642102080 ; 5852, s. 201-211
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Konferensbidrag (refereegranskat)abstract
- The Image Foresting Transform (IFT) is a framework forimage partitioning, commonly used for interactive segmentation. Givenan image where a subset of the image elements (seed-points) have beenassigned user-defined labels, the IFT completes the labeling by computingminimal cost paths from all image elements to the seed-points. Eachimage element is then given the same label as the closest seed-point. Inits original form, the IFT produces crisp segmentations, i.e., each imageelement is assigned the label of exactly one seed-point. Here, we proposea modified version of the IFT that computes region boundaries withsub-pixel precision by allowing mixed labels at region boundaries. Wedemonstrate that the proposed sub-pixel IFT allows properties of thesegmented object to be measured with higher precision.
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