Branch-and-Mincut Algorithm for Image Segmentation
This software contains the C++ implementation of the “branch-and-mincut” framework for image segmentation with various high-level priors as described in the paper “Image Segmentation by Branch-and-Mincut,” written by Victor Lempitsky, Andrew Blake, and Carsten Rother, which appeared in the proceedings of the European Conference on Computer Vision in October 2008. The software contains the core algorithm and an example of its application: globally optimal segmentations under the Chan-Vese functional.
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