Automatická separace čelistí na panoramatických zubních rentgenových snímcích

Automatic jaws separation on panoramic dental X-ray images

Typ dokumentu
BAKALÁŘSKÁ PRÁCE
BACHELOR THESIS
Autor
Bazko Aleksandr
Vedoucí práce
Szabó Zoltán
Oponent práce
Páta Petr
Studijní obor
Biomedicínský technik
Studijní program
Biomedicínská a klinická technika (studium v angličtině)
Instituce přidělující hodnost
katedra biomedicínské techniky
Obhájeno
2015-09-01
Práva
A university thesis is a work protected by the Copyright Act. Extracts, copies and transcripts of the thesis are allowed for personal use only and at one?s own expense. The use of thesis should be in compliance with the Copyright Act http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf and the citation ethics http://knihovny.cvut.cz/vychova/vskp.html.
Vysokoškolská závěrečná práce je dílo chráněné autorským zákonem. Je možné pořizovat z něj na své náklady a pro svoji osobní potřebu výpisy, opisy a rozmnoženiny. Jeho využití musí být v souladu s autorským zákonem http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf a citační etikou http://knihovny.cvut.cz/vychova/vskp.html.
Metadata
Zobrazit celý záznam
Abstrakt
X-ray imaging is useful and abundant diagnostic tool in dentistry, andis commonly used for forensic human identification. This Bachelor Thesis is dedicated to creation of robustautomatic algorithm oflower and upper jaws separation working on panoramic x-ray images. The algorithm consistsof 3 parts: image cropping, image enhancing and segmentation. The cropping methodiscomputing cutters position with respect to anatomical properties of source image. Image enhancing is performed with histogram equalization and mathematical morphology. Segmentation comprises modified integral diagrams and distances transformmethods. The algorithm was successfully tested on set of 8 images of scanned dental radiographiescontaining different dental intervention, malaisesand missing teeth. Acquiredseparationlines arepresentedasbinaryimages.
 
X-ray imaging is useful and abundant diagnostic tool in dentistry, andis commonly used for forensic human identification. This Bachelor Thesis is dedicated to creation of robustautomatic algorithm oflower and upper jaws separation working on panoramic x-ray images. The algorithm consistsof 3 parts: image cropping, image enhancing and segmentation. The cropping methodiscomputing cutters position with respect to anatomical properties of source image. Image enhancing is performed with histogram equalization and mathematical morphology. Segmentation comprises modified integral diagrams and distances transformmethods. The algorithm was successfully tested on set of 8 images of scanned dental radiographiescontaining different dental intervention, malaisesand missing teeth. Acquiredseparationlines arepresentedasbinaryimages.
 
URI
http://hdl.handle.net/10467/72470
Kolekce