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Description
  • The paper is devoted to the image segmentation using different methods and to comparison of their robustness with respect to various levels of noise. Proposed de-noising procedures are based upon appropriate thresholding of wavelet transform coefficients evaluated by selected decomposition functions. Resulting methods are verified for simulated images and then applied for selected MR biomedical images containing different structures. Sensitivity of segmentation to image components illumination, scale, translation and rotation is mentioned as well.
  • The paper is devoted to the image segmentation using different methods and to comparison of their robustness with respect to various levels of noise. Proposed de-noising procedures are based upon appropriate thresholding of wavelet transform coefficients evaluated by selected decomposition functions. Resulting methods are verified for simulated images and then applied for selected MR biomedical images containing different structures. Sensitivity of segmentation to image components illumination, scale, translation and rotation is mentioned as well. (en)
  • Příspěvek je věnován segmentaci obrazů a robustnosti dílčích motod s ohledem na úroveň potlačení šumu s použitím prahování wavelet koeficientů. Navržené metody jsou ověřovány na reálných datech a pro reálné MR obrazy s různou strukturou. Příspěvek zmiňuje rovněč citlivost vůči osvětlení, měřítku, rotaci a posunu. (cs)
Title
  • Wavelet De-noising in Image Segmentation
  • Wavelet De-noising in Image Segmentation (en)
  • Segmentace obrazů s potlačenými rušivými složkami pomocí jejich wavelet dekompozice (cs)
skos:prefLabel
  • Wavelet De-noising in Image Segmentation
  • Wavelet De-noising in Image Segmentation (en)
  • Segmentace obrazů s potlačenými rušivými složkami pomocí jejich wavelet dekompozice (cs)
skos:notation
  • RIV/60461373:22340/08:00020895!RIV09-MSM-22340___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6046137306)
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
  • 405564
http://linked.open...ai/riv/idVysledku
  • RIV/60461373:22340/08:00020895
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • discrete wavelet transform; thresholding; image segmentation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A1AB65DBFA39]
http://linked.open...v/mistoKonaniAkce
  • Kouty nad Desnou
http://linked.open...i/riv/mistoVydani
  • Pardubice
http://linked.open...i/riv/nazevZdroje
  • Proceedings the 8th International Scientific - Technological Conference Process Control 2008
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Procházka, Aleš
  • Gavlasová, Andrea
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
  • Univerzita Pardubice
https://schema.org/isbn
  • 978-80-7395-077-4
http://localhost/t...ganizacniJednotka
  • 22340
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