Bio-information based segmentation of 3D dental models
The automatic and accurate segmentation of 3-D dental model digitized through intra or extra oral measurement methods is an important step in computer aided orthodontic system. This paper presents a robust segmentation method based on the bio-information of individuals teeth with little manual interaction. The discrete curvature of the dental model is first computed; using the computed discrete curvature as the reference, and then the feature regions in which the segmentation boundary may be included is filtered out according given curvature threshold. The feature regions including segmentation boundary are bridged interactively. The skeleton of the feature regions is extracted according to the bioinformation of the dental model, and the segmentation boundary is got after branches removing. Finally, the teeth of the dental model are separated one by one along the segmentation boundary.
3D Dental model segmentation Mean curvature Skeleton Segmentation boundary
YUAN Tian-ran DAI Ning HAO Guo-dong CHENG Xiao-sheng CUI Hai-hua LIAO Wen-he YU Qing Lv Peijun
College of Mechanical and Electrical Engineering Nanjing University of Aeronautics &Astronautics Nan Nanjing Stomatological hospital Peking University Beijing, P. R. China 100081 School of Stomatology, Peking University Beijing, P. R. China 100081
国际会议
上海
英文
624-627
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）