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Statements

Subject Item
n2:RIV%2F60461373%3A22340%2F08%3A00020895%21RIV09-MSM-22340___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
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. 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.
dcterms:title
Wavelet De-noising in Image Segmentation Segmentace obrazů s potlačenými rušivými složkami pomocí jejich wavelet dekompozice Wavelet De-noising in Image Segmentation
skos:prefLabel
Wavelet De-noising in Image Segmentation Wavelet De-noising in Image Segmentation Segmentace obrazů s potlačenými rušivými složkami pomocí jejich wavelet dekompozice
skos:notation
RIV/60461373:22340/08:00020895!RIV09-MSM-22340___
n7:aktivita
n15:Z
n7:aktivity
Z(MSM6046137306)
n7:dodaniDat
n11:2009
n7:domaciTvurceVysledku
n19:4785525
n7:druhVysledku
n20:D
n7:duvernostUdaju
n13:S
n7:entitaPredkladatele
n8:predkladatel
n7:idSjednocenehoVysledku
405564
n7:idVysledku
RIV/60461373:22340/08:00020895
n7:jazykVysledku
n21:eng
n7:klicovaSlova
discrete wavelet transform; thresholding; image segmentation
n7:klicoveSlovo
n9:image%20segmentation n9:thresholding n9:discrete%20wavelet%20transform
n7:kontrolniKodProRIV
[A1AB65DBFA39]
n7:mistoKonaniAkce
Kouty nad Desnou
n7:mistoVydani
Pardubice
n7:nazevZdroje
Proceedings the 8th International Scientific - Technological Conference Process Control 2008
n7:obor
n10:JD
n7:pocetDomacichTvurcuVysledku
1
n7:pocetTvurcuVysledku
2
n7:rokUplatneniVysledku
n11:2008
n7:tvurceVysledku
Procházka, Aleš Gavlasová, Andrea
n7:typAkce
n16:EUR
n7:zahajeniAkce
2008-06-09+02:00
n7:zamer
n17:MSM6046137306
s:numberOfPages
9
n12:hasPublisher
Univerzita Pardubice
n5:isbn
978-80-7395-077-4
n14:organizacniJednotka
22340