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Statements

Subject Item
n2:RIV%2F60461373%3A22340%2F12%3A43893348%21RIV13-MSM-22340___
rdf:type
skos:Concept n7:Vysledek
dcterms:description
The paper presents an algorithm for identifying common boundary between two connected neighbouring regions in the orthodontic image. The digital image is provided by top source illumination on plaster cast of the orthodontic image. The initial stage of image processing is based on segmentation of the object from its background by Otsu method. This segmentation provides a complete background and makes it possible to focus only on the object for further image processing. In the secondary stage, de-nosing and intensity adjustment are applied on plaster cast image as an enhancement method. In the third stage, the region growing segmentation is performed by selecting the appropriate seed point and identifying the similarity criteria for segmentation of every region in the object. The last stage includes the algorithm presented here which is complementary to the region growing segmentation for identifying the common boundary between two connected neighbouring regions. The proposed algorithm is performed by extracting the boundary, identifying the convex deficiency of a shape and applying the mathematical methods on two connected neighbourhood regions. The main goal of this paper is (a) to present the mathematical methods for image analysis in the orthodontic treatment, (b) to present the use of region growing method for image segmentation and (c) to propose the algorithm for identifying common boundary of two neighbouring regions.the orthodontic treatment, (b) to present the use of region growing method for image segmentation and (c) to propose the algorithm for identifying common boundary of two neighbouring regions. The paper presents an algorithm for identifying common boundary between two connected neighbouring regions in the orthodontic image. The digital image is provided by top source illumination on plaster cast of the orthodontic image. The initial stage of image processing is based on segmentation of the object from its background by Otsu method. This segmentation provides a complete background and makes it possible to focus only on the object for further image processing. In the secondary stage, de-nosing and intensity adjustment are applied on plaster cast image as an enhancement method. In the third stage, the region growing segmentation is performed by selecting the appropriate seed point and identifying the similarity criteria for segmentation of every region in the object. The last stage includes the algorithm presented here which is complementary to the region growing segmentation for identifying the common boundary between two connected neighbouring regions. The proposed algorithm is performed by extracting the boundary, identifying the convex deficiency of a shape and applying the mathematical methods on two connected neighbourhood regions. The main goal of this paper is (a) to present the mathematical methods for image analysis in the orthodontic treatment, (b) to present the use of region growing method for image segmentation and (c) to propose the algorithm for identifying common boundary of two neighbouring regions.the orthodontic treatment, (b) to present the use of region growing method for image segmentation and (c) to propose the algorithm for identifying common boundary of two neighbouring regions.
dcterms:title
Segmentation of Overlapping Biomedical Objects Segmentation of Overlapping Biomedical Objects
skos:prefLabel
Segmentation of Overlapping Biomedical Objects Segmentation of Overlapping Biomedical Objects
skos:notation
RIV/60461373:22340/12:43893348!RIV13-MSM-22340___
n7:predkladatel
n8:orjk%3A22340
n3:aktivita
n17:Z
n3:aktivity
Z(MSM6046137306)
n3:dodaniDat
n14:2013
n3:domaciTvurceVysledku
Yadollahi, Mohammadreza n22:4785525
n3:druhVysledku
n13:D
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
167233
n3:idVysledku
RIV/60461373:22340/12:43893348
n3:jazykVysledku
n12:eng
n3:klicovaSlova
overlapping objects; region growing method; image segmentation; digital filters; morphology operation; biomedical image processing
n3:klicoveSlovo
n6:digital%20filters n6:region%20growing%20method n6:overlapping%20objects n6:biomedical%20image%20processing n6:image%20segmentation n6:morphology%20operation
n3:kontrolniKodProRIV
[4C986DBCFDC8]
n3:mistoKonaniAkce
Kouty nad Desnou
n3:mistoVydani
Pardubice
n3:nazevZdroje
Proceedings of 10th International Conference Process Control 2012
n3:obor
n11:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n14:2012
n3:tvurceVysledku
Yadollahi, Mohammadreza Procházka, Aleš
n3:typAkce
n21:EUR
n3:zahajeniAkce
2012-06-11+02:00
n3:zamer
n20:MSM6046137306
s:numberOfPages
12
n16:hasPublisher
Univerzita Pardubice
n15:isbn
978-80-7395-500-7
n18:organizacniJednotka
22340