Topology Cuts for Image Segmentation
Topology is an important prior in many image segmentation tasks. In this work, we design and implement a novel graph-based min-cut/max-flow algorithm that incorporates topology priors as global constraints. We show that optimization of the energy function we consider here is NP-hard. However, our algorithm is guaranteed to find a local optimum (in a relaxed dual sense) that conforms to the initia
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Topological segmentation of discrete surfaces
Pseudolikelihood Image Segmentation Software
Homeomorphic Brain Image Segmentation
http://www.cbsr.ia.ac.cn/users/szli/mrf_book/book.html
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