Browsing Department of Mathematics by Subject "Image processing and segmentation"
Now showing items 1-2 of 2
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A Fast Continuous Max-Flow Approach to Non-Convex Multilabeling Problems
(Working paper, 2011)This work addresses a class of multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded function, not necessarily convex. Two total variation based regularization ... -
A Study on Continuous Max-Flow and Min-Cut Approaches
(Chapter; Peer reviewed, 2010)We propose and investigate novel max-flow models in the spatially continuous setting, with or without supervised constraints, under a comparative study of graph based max-flow / min-cut. We show that the continuous max-flow ...