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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F09%3APU76034%21RIV10-MSM-26220___
rdf:type
n6:Vysledek skos:Concept
dcterms:description
The paper describes the pre-processing and subsequent segmentation of NMR images of growing tissue cultures. Images obtained by the NMR technique give three separately growing cultures. The aim of the work was to follow the speed of their development. Images obtained by means of the NMR device used are of very low resolution and contrast and there are no sharp edges between regions. Processing such images may prove to be quite difficult. A suitable algorithm was found, which consists of the pre-processing of the image and subsequent multiphase level set segmentation. The proposed method segments the image based on the intensity of the regions sought, and is suitable for working with NMR images in which there are no sharp edges. The method is described by partial differential equations that were transformed into corresponding difference equations solved numerically. Processing the detected images and measuring the sequence of NMR data give a graph of the growth development of the tissue cultures examin The paper describes the pre-processing and subsequent segmentation of NMR images of growing tissue cultures. Images obtained by the NMR technique give three separately growing cultures. The aim of the work was to follow the speed of their development. Images obtained by means of the NMR device used are of very low resolution and contrast and there are no sharp edges between regions. Processing such images may prove to be quite difficult. A suitable algorithm was found, which consists of the pre-processing of the image and subsequent multiphase level set segmentation. The proposed method segments the image based on the intensity of the regions sought, and is suitable for working with NMR images in which there are no sharp edges. The method is described by partial differential equations that were transformed into corresponding difference equations solved numerically. Processing the detected images and measuring the sequence of NMR data give a graph of the growth development of the tissue cultures examin
dcterms:title
Wavelet filtering and level set segmentation of NMR images for monitoring the development of growing cultures Wavelet filtering and level set segmentation of NMR images for monitoring the development of growing cultures
skos:prefLabel
Wavelet filtering and level set segmentation of NMR images for monitoring the development of growing cultures Wavelet filtering and level set segmentation of NMR images for monitoring the development of growing cultures
skos:notation
RIV/00216305:26220/09:PU76034!RIV10-MSM-26220___
n3:aktivita
n19:P n19:Z
n3:aktivity
P(GA102/07/0389), Z(AV0Z20650511), Z(MSM0021630513)
n3:dodaniDat
n12:2010
n3:domaciTvurceVysledku
n10:1157000 n10:5918367 n10:4095499
n3:druhVysledku
n11:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
351745
n3:idVysledku
RIV/00216305:26220/09:PU76034
n3:jazykVysledku
n16:eng
n3:klicovaSlova
level set segmentation, wavelet filtration, growing cultures
n3:klicoveSlovo
n7:growing%20cultures n7:wavelet%20filtration n7:level%20set%20segmentation
n3:kontrolniKodProRIV
[0DE51AE6C251]
n3:mistoKonaniAkce
Beijing
n3:mistoVydani
Cambridge
n3:nazevZdroje
Progress in Electromagnetic Research Symposium
n3:obor
n4:JA
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n8:GA102%2F07%2F0389
n3:rokUplatneniVysledku
n12:2009
n3:tvurceVysledku
Mikulka, Jan Gescheidtová, Eva Bartušek, Karel
n3:typAkce
n18:WRD
n3:wos
000268101100234
n3:zahajeniAkce
2009-03-23+01:00
n3:zamer
n17:MSM0021630513 n17:AV0Z20650511
s:numberOfPages
4
n9:hasPublisher
The Electromagnetic Academy
n22:isbn
978-1-934142-08-0
n13:organizacniJednotka
26220