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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F09%3APU82460%21RIV09-GA0-26220___
rdf:type
skos:Concept n20:Vysledek
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 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
Waveletová filtrace a level set segmentace obrazů pro sledování růstu tkáňových kultur 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 Waveletová filtrace a level set segmentace obrazů pro sledování růstu tkáňových kultur Wavelet filtering and level set segmentation of NMR images for monitoring the development of growing cultures
skos:notation
RIV/00216305:26220/09:PU82460!RIV09-GA0-26220___
n3:aktivita
n18:P n18:Z
n3:aktivity
P(GA102/07/0389), Z(MSM0021630513)
n3:dodaniDat
n7:2009
n3:domaciTvurceVysledku
n10:5918367 n10:4095499 n10:1157000
n3:druhVysledku
n12:D
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
351746
n3:idVysledku
RIV/00216305:26220/09:PU82460
n3:jazykVysledku
n15:eng
n3:klicovaSlova
level set segmentation, wavelet filtration, growing cultures
n3:klicoveSlovo
n4:wavelet%20filtration n4:growing%20cultures n4:level%20set%20segmentation
n3:kontrolniKodProRIV
[6C5E26B2A5A2]
n3:mistoKonaniAkce
Beijing
n3:mistoVydani
Cambridge
n3:nazevZdroje
PIERS Proceedings
n3:obor
n11:JA
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n13:GA102%2F07%2F0389
n3:rokUplatneniVysledku
n7:2009
n3:tvurceVysledku
Bartušek, Karel Mikulka, Jan Gescheidtová, Eva
n3:typAkce
n19:WRD
n3:zahajeniAkce
2009-03-23+01:00
n3:zamer
n17:MSM0021630513
s:issn
1559-9450
s:numberOfPages
4
n8:hasPublisher
The Electromagnetic Academy
n6:organizacniJednotka
26220