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- W4297085004 abstract "We propose and analyze a constrained level-set method for semi-automatic image segmentation. Our level-set model with constraints on the level-set function enables us to specify which parts of the image lie inside respectively outside the segmented objects. Such a-priori information can be expressed in terms of upper and lower constraints prescribed for the level-set function. Constraints have the same conceptual meaning as initial seeds of the popular graph-cuts based methods for image segmentation. A numerical approximation scheme is based on the complementary-finite volumes method combined with the Projected successive over-relaxation method adopted for solving constrained linear complementarity problems. The advantage of the constrained level-set method is demonstrated on several artificial images as well as on cardiac MRI data." @default.
- W4297085004 created "2022-09-27" @default.
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- W4297085004 date "2014-12-07" @default.
- W4297085004 modified "2023-09-29" @default.
- W4297085004 title "Application of the level-set model with constraints in image segmentation" @default.
- W4297085004 doi "https://doi.org/10.48550/arxiv.1412.2364" @default.
- W4297085004 hasPublicationYear "2014" @default.
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