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  • This paper presents fast and robust algorithm for minimization of Chan--Vese energy functional. Proposed technique is based on recently published k-Means level set and threshold dynamics approximations of Chan--Vese functional. The approximation algorithms are combined in order to preserve their individual advantages and avoid their limitations. Hence, the proposed hybrid algorithm is robust and converges reasonably fast to steady state and is suitable for two-phase segmentation of low contrast biomedical data. A simple numerical scheme for threshold dynamics method is derived in the paper. Results of the hybrid algorithm that are better than results of both k-Means level set and threshold dynamics methods employed individually are presented.
  • This paper presents fast and robust algorithm for minimization of Chan--Vese energy functional. Proposed technique is based on recently published k-Means level set and threshold dynamics approximations of Chan--Vese functional. The approximation algorithms are combined in order to preserve their individual advantages and avoid their limitations. Hence, the proposed hybrid algorithm is robust and converges reasonably fast to steady state and is suitable for two-phase segmentation of low contrast biomedical data. A simple numerical scheme for threshold dynamics method is derived in the paper. Results of the hybrid algorithm that are better than results of both k-Means level set and threshold dynamics methods employed individually are presented. (en)
Title
  • Fast and Robust Segmentation of Low Contrast Biomedical Images
  • Fast and Robust Segmentation of Low Contrast Biomedical Images (en)
skos:prefLabel
  • Fast and Robust Segmentation of Low Contrast Biomedical Images
  • Fast and Robust Segmentation of Low Contrast Biomedical Images (en)
skos:notation
  • RIV/00216224:14330/06:00015952!RIV10-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GP204/03/D034), Z(MSM0021622419)
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
  • 475572
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/06:00015952
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • medical imaging fast Chan--Vese active contour segmentation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [413891C1F35A]
http://linked.open...v/mistoKonaniAkce
  • Palma De Mallorca, Spain
http://linked.open...i/riv/mistoVydani
  • Anaheim, Calgary, Zurich
http://linked.open...i/riv/nazevZdroje
  • Visualization Imaging and Image Processing
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
  • Matula, Pavel
  • Hubený, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • ACTA Press
https://schema.org/isbn
  • 0-88986-598-1
http://localhost/t...ganizacniJednotka
  • 14330
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