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  • Image processing in biomedical applications is strongly developing issue. Many methods and approaches for image preprocessing, segmentation and visualization were described. This paper describes OPG image processing. The aim of processing is to segment regions of jawbone cysts and evaluate their local descriptors. It is necessary to choose suitable segmentation method because of adverse parameters of regions. The regions of the cysts are of low contrast and the pixel intensity distribution is not homogenous. The level set, the watershed and the live-wire segmentation method were chosen to testing. The results are compared. The second step of processing is to evaluate local descriptors of segmented regions which correspond to cysts. Several parameters were chosen to describe these regions – region area, mean gray value of intensities, modal gray value of intensities, standard deviation of intensities, minimal and maximal gray value of intensities, integrated intensity, median of intensities and shape
  • Image processing in biomedical applications is strongly developing issue. Many methods and approaches for image preprocessing, segmentation and visualization were described. This paper describes OPG image processing. The aim of processing is to segment regions of jawbone cysts and evaluate their local descriptors. It is necessary to choose suitable segmentation method because of adverse parameters of regions. The regions of the cysts are of low contrast and the pixel intensity distribution is not homogenous. The level set, the watershed and the live-wire segmentation method were chosen to testing. The results are compared. The second step of processing is to evaluate local descriptors of segmented regions which correspond to cysts. Several parameters were chosen to describe these regions – region area, mean gray value of intensities, modal gray value of intensities, standard deviation of intensities, minimal and maximal gray value of intensities, integrated intensity, median of intensities and shape (en)
Title
  • Segmentation of OPG Images in Studying Jawbone Diseases
  • Segmentation of OPG Images in Studying Jawbone Diseases (en)
skos:prefLabel
  • Segmentation of OPG Images in Studying Jawbone Diseases
  • Segmentation of OPG Images in Studying Jawbone Diseases (en)
skos:notation
  • RIV/00216305:26220/13:PU103388!RIV14-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED2.1.00/03.0072)
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
  • 104426
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/13:PU103388
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • image segmentation, jawbone, cysts, necrosis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D115C9186A70]
http://linked.open...v/mistoKonaniAkce
  • Taipei
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • Proceedings of PIERS 2013 in Taipei
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
  • Mikulka, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Neuveden
https://schema.org/isbn
  • 978-1-934142-24-0
http://localhost/t...ganizacniJednotka
  • 26220
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