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Statements

Subject Item
n2:RIV%2F60461373%3A22340%2F12%3A43893386%21RIV13-MSM-22340___
rdf:type
skos:Concept n9:Vysledek
dcterms:description
The paper presents a new method for detection of orthodontic bodies, their separation, enhancement and analysis using their plaster casts models illuminated by different light sources. The proposed method is based upon the processing of the set of two-dimensional images acquired in different illumination conditions using digital de-nosing and gradient image enhancement methods in the preliminary stage. The region growing method forms the main part of the paper with its results compared to the distance and watershed transforms. Mathematical methods studied include (i) selected computational tools for multi-dimensional analysis in the orthodontic treatment and (ii) segmentation methods based upon illuminated objects allowing the application of the region growing method for image regions classification The proposed set of algorithms is then used for orthodontic bodies segmentation and for comparison of results achieved. All methods are applied in orthodontics for segmentation of specifie objects to allow the efficien treatment and to simplify the organization of further analysis of treatment results in the electronic form accessible for all specialists in the given area. The paper presents a new method for detection of orthodontic bodies, their separation, enhancement and analysis using their plaster casts models illuminated by different light sources. The proposed method is based upon the processing of the set of two-dimensional images acquired in different illumination conditions using digital de-nosing and gradient image enhancement methods in the preliminary stage. The region growing method forms the main part of the paper with its results compared to the distance and watershed transforms. Mathematical methods studied include (i) selected computational tools for multi-dimensional analysis in the orthodontic treatment and (ii) segmentation methods based upon illuminated objects allowing the application of the region growing method for image regions classification The proposed set of algorithms is then used for orthodontic bodies segmentation and for comparison of results achieved. All methods are applied in orthodontics for segmentation of specifie objects to allow the efficien treatment and to simplify the organization of further analysis of treatment results in the electronic form accessible for all specialists in the given area.
dcterms:title
Region Growing Method in Separation of Orthodontic Bodies Using Illuminated Models Region Growing Method in Separation of Orthodontic Bodies Using Illuminated Models
skos:prefLabel
Region Growing Method in Separation of Orthodontic Bodies Using Illuminated Models Region Growing Method in Separation of Orthodontic Bodies Using Illuminated Models
skos:notation
RIV/60461373:22340/12:43893386!RIV13-MSM-22340___
n9:predkladatel
n10:orjk%3A22340
n3:aktivita
n15:Z n15:I
n3:aktivity
I, Z(MSM6046137306), Z(MZ000064203)
n3:cisloPeriodika
1
n3:dodaniDat
n11:2013
n3:domaciTvurceVysledku
Yadollahi, Mohammadreza n18:4785525 n18:6178367
n3:druhVysledku
n16:J
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
164602
n3:idVysledku
RIV/60461373:22340/12:43893386
n3:jazykVysledku
n17:eng
n3:klicovaSlova
Biomedical signal processing, digital filters gradient methods, image segmentation, multi-dimensional objects analysis, object illumination, orthodontics, region growing method
n3:klicoveSlovo
n7:digital%20filters%20gradient%20methods n7:orthodontics n7:Biomedical%20signal%20processing n7:region%20growing%20method n7:image%20segmentation n7:multi-dimensional%20objects%20analysis n7:object%20illumination
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[BACD42118308]
n3:nazevZdroje
International Journal of Biology and Biomedical Engineering
n3:obor
n14:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
5
n3:rokUplatneniVysledku
n11:2012
n3:svazekPeriodika
6
n3:tvurceVysledku
Procházka, Aleš Dostálová, Taťjána Yadollahi, Mohammadreza Kašparová, Magdaléna Mudrová, Martina
n3:zamer
n13:MSM6046137306 n13:MZ000064203
s:issn
1998-4510
s:numberOfPages
8
n12:organizacniJednotka
22340