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Convex multi-region probabilistic segmentation with shape prior in the isometric log-ratio transformation space
2011
2011 International Conference on Computer Vision
Image segmentation is often performed via the minimization of an energy function over a domain of possible segmentations. The effectiveness and applicability of such methods depends greatly on the properties of the energy function and its domain, and on what information can be encoded by it. Here we propose an energy function that achieves several important goals. Specifically, our energy function is convex and incorporates shape prior information while simultaneously generating a probabilistic
doi:10.1109/iccv.2011.6126484
dblp:conf/iccv/AndrewsMH11
fatcat:qhvk457xpvgfpk5fn2mmxtddsm