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Statements

Subject Item
n2:RIV%2F60461373%3A22340%2F06%3A00016797%21RIV07-MSM-22340___
rdf:type
n13:Vysledek skos:Concept
dcterms:description
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. 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. 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.
dcterms:title
Texture Segmentation and Classification in Biomedical Image Processing Segmentace a klasifikace biomedicínských obrazů Texture Segmentation and Classification in Biomedical Image Processing
skos:prefLabel
Texture Segmentation and Classification in Biomedical Image Processing Texture Segmentation and Classification in Biomedical Image Processing Segmentace a klasifikace biomedicínských obrazů
skos:notation
RIV/60461373:22340/06:00016797!RIV07-MSM-22340___
n3:strany
382/1-382/6
n3:aktivita
n21:Z
n3:aktivity
Z(MSM6046137306)
n3:dodaniDat
n5:2007
n3:domaciTvurceVysledku
n7:4785525 n7:1072668
n3:druhVysledku
n11:D
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
503655
n3:idVysledku
RIV/60461373:22340/06:00016797
n3:jazykVysledku
n12:eng
n3:klicovaSlova
Image feature extraction; Radon transform; wavelet transform; biomedical image processing
n3:klicoveSlovo
n8:Radon%20transform n8:wavelet%20transform n8:Image%20feature%20extraction n8:biomedical%20image%20processing
n3:kontrolniKodProRIV
[530A3FF0FC10]
n3:mistoKonaniAkce
Canterbury, UK
n3:mistoVydani
Canterbury
n3:nazevZdroje
Proceedings of 6th International Conference on Rescent Advances in Soft Computing RASC 2006
n3:obor
n18:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n5:2006
n3:tvurceVysledku
Procházka, Aleš Gavlasová, Andrea Vyšata, Oldřich
n3:typAkce
n4:WRD
n3:zahajeniAkce
2006-07-10+02:00
n3:zamer
n9:MSM6046137306
s:numberOfPages
6
n14:hasPublisher
University of Kent
n15:isbn
978-1-902671-42-0
n19:organizacniJednotka
22340