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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F09%3A10227611%21RIV11-MPO-27240___
rdf:type
skos:Concept n15:Vysledek
dcterms:description
This paper is concerned with the use of the level set methods in image segmentation. It is known that the reinitialisation is sometimes needed for the correct function of these methods. This step, however, is problematic both from the theoretical and from the practical point of view. In this paper, we present a modification of the well known Chan and Vese method that does not require the reinitialisation. It means that, during the iterative process, it is not necessary to switch between the usual and reinitialisation steps. The method is based on formulating the image segmentation problem as a problem of minimising a functional with a constraint. The solution is done by making use of the Lagrange multipliers method. We present the theory needed for implementing as well as results of practical testing. This paper is concerned with the use of the level set methods in image segmentation. It is known that the reinitialisation is sometimes needed for the correct function of these methods. This step, however, is problematic both from the theoretical and from the practical point of view. In this paper, we present a modification of the well known Chan and Vese method that does not require the reinitialisation. It means that, during the iterative process, it is not necessary to switch between the usual and reinitialisation steps. The method is based on formulating the image segmentation problem as a problem of minimising a functional with a constraint. The solution is done by making use of the Lagrange multipliers method. We present the theory needed for implementing as well as results of practical testing.
dcterms:title
Active Contours without Edges and without Reinitialisation Active Contours without Edges and without Reinitialisation
skos:prefLabel
Active Contours without Edges and without Reinitialisation Active Contours without Edges and without Reinitialisation
skos:notation
RIV/61989100:27240/09:10227611!RIV11-MPO-27240___
n3:aktivita
n14:P
n3:aktivity
P(FR-TI1/262)
n3:dodaniDat
n4:2011
n3:domaciTvurceVysledku
n17:5223806 n17:4442539 n17:4899423 n17:7748078
n3:druhVysledku
n7:D
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
301842
n3:idVysledku
RIV/61989100:27240/09:10227611
n3:jazykVysledku
n12:eng
n3:klicovaSlova
Lagrange multipliers; reinitialisation; level set method; image segmentation
n3:klicoveSlovo
n13:reinitialisation n13:image%20segmentation n13:level%20set%20method n13:Lagrange%20multipliers
n3:kontrolniKodProRIV
[BB9DFE0A2C77]
n3:mistoKonaniAkce
Coimbatore, India
n3:mistoVydani
Los Alamitos, California
n3:nazevZdroje
World Congress on Nature & Biologically Inspired Computing, 2009. NaBIC 2009
n3:obor
n18:IN
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n21:FR-TI1%2F262
n3:rokUplatneniVysledku
n4:2009
n3:tvurceVysledku
Fabián, Tomáš Gaura, Jan Sojka, Eduard Krumnikl, Michal
n3:typAkce
n9:WRD
n3:wos
000288686500155
n3:zahajeniAkce
2009-12-09+01:00
s:numberOfPages
4
n19:hasPublisher
IEEE Computer Society
n20:isbn
978-1-4244-5053-4
n6:organizacniJednotka
27240