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  • The paper is devoted to selected intelligent techniques of biomedical image processing and namely to mathematical methods of image features extraction and image components classification invariant to their rotation. The first method under study presents an algorithm for the given image segmentation using watershed transform allowing the estimation of image segments boundaries and image components classification using both Radon and Wavelet transforms. The second method presents basic principle of feature based image segmentation using pattern vectors assigned to all image pixels with vector values estimated from each root pixel neighbourhood properties. The proposed methods are applied for biomedical image processing.
  • The paper is devoted to selected intelligent techniques of biomedical image processing and namely to mathematical methods of image features extraction and image components classification invariant to their rotation. The first method under study presents an algorithm for the given image segmentation using watershed transform allowing the estimation of image segments boundaries and image components classification using both Radon and Wavelet transforms. The second method presents basic principle of feature based image segmentation using pattern vectors assigned to all image pixels with vector values estimated from each root pixel neighbourhood properties. The proposed methods are applied for biomedical image processing. (en)
  • Příspěvek je věnován vybraným metodám detekce vlastností obrazových segmentů invariantních vůči jejich rotaci a dále jejich klasifikaci. První metoda je věnována rozvoďové transformaci a určování vlastností objektů s využitím Radonovy a Wavelet transformace. Výsledky jsou porovnány se segmentací na základě vlastností dílčích obrazových elementů určovaných z vlastností jejich okolí. Aplikace je v oblasti zpracování biomedicínských obrazů. (cs)
Title
  • Texture Segmentation and Classification in Biomedical Image Processing
  • Segmentace a klasifikace biomedicínských obrazů (cs)
  • Texture Segmentation and Classification in Biomedical Image Processing (en)
skos:prefLabel
  • Texture Segmentation and Classification in Biomedical Image Processing
  • Segmentace a klasifikace biomedicínských obrazů (cs)
  • Texture Segmentation and Classification in Biomedical Image Processing (en)
skos:notation
  • RIV/60461373:22340/06:00016797!RIV07-MSM-22340___
http://linked.open.../vavai/riv/strany
  • 382/1-382/6
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
  • 503655
http://linked.open...ai/riv/idVysledku
  • RIV/60461373:22340/06:00016797
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Image feature extraction; Radon transform; wavelet transform; biomedical image processing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [530A3FF0FC10]
http://linked.open...v/mistoKonaniAkce
  • Canterbury, UK
http://linked.open...i/riv/mistoVydani
  • Canterbury
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 6th International Conference on Rescent Advances in Soft Computing RASC 2006
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
  • Vyšata, Oldřich
  • 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
  • University of Kent
https://schema.org/isbn
  • 978-1-902671-42-0
http://localhost/t...ganizacniJednotka
  • 22340
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