Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13142
ชื่อเรื่อง: Teeth segmentation from dental x-ray image by template matching
ผู้แต่ง: Poonsri A.
Aimjirakul N.
Charoenpong T.
Sukjamsri C.
Keywords: Biomedical engineering
Clustering algorithms
Image segmentation
X ray analysis
3-D model constructions
Data clustering
Dental X-ray image
Dental X-rays
Mahalanobis distances
Multiple templates
Orthodontic treatments
Teeth segmentation
Template matching
วันที่เผยแพร่: 2017
บทคัดย่อ: 3D digital dental model is used for orthodontic treatment. Teeth segmentation is an important process for a 3D model construction. In this paper, we proposes a method to segment a teeth from a panoramic dental x-ray image. The proposed method consists of three steps: Tooth area identification, template matching, and teeth area segmentation. First, to identify tooth area, the Otsu's threshold and Mahalanobis distance technique are used. Second, teeth template images with different image size are used to match with a teeth in x-ray image. Finally, overlap area from matching multiple templates is used to segment a teeth. To test performance of the proposed method, twenty-five dental images are used. Totally, there are 450 single-rooted tooth, and 250 double-rooted tooth. An accuracy are 42.20 and 49.04 percent for single-root and double-root teeth, respectively. An accuracy should be improved in further. However, this is first fully automatic teeth segment method by using panoramic dental x-ray image. © 2016 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/13142
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015812230&doi=10.1109%2fBMEiCON.2016.7859599&partnerID=40&md5=06671868a792ced474dde8813142df3b
Appears in Collections:Scopus 1983-2021

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