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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Numerical Mathematics: Theory, Methods and Applications

ISSN

1004-8979

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CN - Čínská lidová republika

Počet stran výsledku

22

Strana od-do

147-168

Kód UT WoS článku

000370276900006

EID výsledku v databázi Scopus

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