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  • 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. (en)
Title
  • Active Contours without Edges and without Reinitialisation
  • Active Contours without Edges and without Reinitialisation (en)
skos:prefLabel
  • Active Contours without Edges and without Reinitialisation
  • Active Contours without Edges and without Reinitialisation (en)
skos:notation
  • RIV/61989100:27240/09:10227611!RIV11-MPO-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(FR-TI1/262)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 301842
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/09:10227611
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Lagrange multipliers; reinitialisation; level set method; image segmentation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BB9DFE0A2C77]
http://linked.open...v/mistoKonaniAkce
  • Coimbatore, India
http://linked.open...i/riv/mistoVydani
  • Los Alamitos, California
http://linked.open...i/riv/nazevZdroje
  • World Congress on Nature & Biologically Inspired Computing, 2009. NaBIC 2009
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Fabián, Tomáš
  • Gaura, Jan
  • Krumnikl, Michal
  • Sojka, Eduard
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000288686500155
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 978-1-4244-5053-4
http://localhost/t...ganizacniJednotka
  • 27240
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