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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F16%3A00239147" target="_blank" >RIV/68407700:21340/16:00239147 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.4208/nmtma.2015.m1418" target="_blank" >http://dx.doi.org/10.4208/nmtma.2015.m1418</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4208/nmtma.2015.m1418" target="_blank" >10.4208/nmtma.2015.m1418</a>

Result language
angličtina
Original language name
Application of the level-set model with constraints in image segmentation
Original language description
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.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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