To improve the accuracy of feature extraction of dental digital model and the efficiency of tooth segmentation,a coordinate system standardization method combining geometric transformation and principal component analysis was proposed.Based on discrete curvature,normal vector,shape diameter function and discrete geodesic distance,the feature extraction of dental digital model was carried out,and 76 feature data sets were further expanded and constructed.The proposed coordinate system standardization method and data set were used to perform tooth segmentation experiments on the maxilla.The results show that the improved principal component analysis method can quickly and accurately align the coordinate system of the dental digital model,accurately identify the feature information of the teeth and mark them.The teeth are segmented completely,and the average segmentation accuracy is 99.74%.The feature extraction method for dental model based on improved principal component analysis can greatly improve the discrimination of features to teeth,so as to reduce the negative impact of pose on dental feature extraction,and realize accurate segmentation of teeth with less feature data,which can provide some reference for digital oral diagnosis and treatment.
关键词
计算机图形学/牙颌数字模型/坐标系标准化/主成分分析/离散曲率/形状直径函数/离散测地距离
Key words
computer graphics/dental digital model/coordinate system standardization/principal component analysis/discrete curvature/shape diameter function/discrete geodesic distance
维普
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