DocumentCode :
1746866
Title :
Robust arch detection and tooth segmentation in 3D images of dental plaster models
Author :
Kondo, T. ; Ong, S.H. ; Chuah, J.H. ; Foong, K.W.C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
fYear :
2001
fDate :
2001
Firstpage :
241
Lastpage :
246
Abstract :
We present an automated method for determining the dental arch form, detecting the interstices between teeth, and segmenting the posterior teeth in 3D images of dental plaster models. The dental arch form is obtained by a robust two-step curve fitting method that can handle dental models with not only well-aligned but also malaligned teeth. The interstices between teeth are detected by searching for valleys along the dental arch form. We employ a FIR band-pass filter to facilitate the valley detection. Plan-view and front-view range images are utilized for the detection of teeth interstices. The posterior teeth are segmented by tracing edges using the inner product of gradient vectors
Keywords :
FIR filters; band-pass filters; curve fitting; dentistry; edge detection; feature extraction; image segmentation; medical image processing; 3D images; FIR band-pass filter; dental arch form; dental plaster models; dentistry; edge detection; front-view range images; gradient vectors; image segmentation; medical image processing; plan-view range images; robust arch detection; teeth interstices; tooth segmentation; two-step curve fitting method; Computer vision; Dentistry; Feature extraction; Finite impulse response filter; Image edge detection; Image segmentation; Laser modes; Robustness; Surface reconstruction; Teeth;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Imaging and Augmented Reality, 2001. Proceedings. International Workshop on
Conference_Location :
Shatin, Hong Kong
Print_ISBN :
0-7695-1113-9
Type :
conf
DOI :
10.1109/MIAR.2001.930294
Filename :
930294
Link To Document :
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