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Global and selective image segmentation are very important applications of image processing techniques. The latter is of particular importance in medical imaging. We introduce a new convex selective segmentation model which achieves results which could not previously be attained. We also introduce a new multigrid framework for solving this model, and a whole class of segmentation models with O(N) complexity.
This presentation is part of Minisymposium “MS22 - Mapping problems in imaging, graphics and vision (3 parts)”
organized by: Ronald Lui (Chinese University of Hong Kong) , Ke Chen (University of Liverpool) .