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arXiv · 1412.2364

Application of the level-set model with constraints in image segmentation

Vladimír Klement·Tomáš Oberhuber·Daniel Ševčovič
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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.

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Vladimír Klement, Tomáš Oberhuber, Daniel Ševčovič. 2014-12-10. Application of the level-set model with constraints in image segmentation. https://arxiv.org/abs/1412.2364

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