基于目标区域约束的牙颌模型分割线探测方法  

Segmentation Line Detection in Dental Model Based on Target Region Constraint

作　　者：马天[1] 李赟 李娇娇 李远成[1] Ma Tian;Li Yun;Li Jiaojiao;Li Yuancheng(College of Computer Science&Technology,Xi'an University of Science and Technology,Xi'an 710054,China)

机构地区：[1]西安科技大学计算机科学与技术学院,陕西西安710054

出　　处：《系统仿真学报》2022年第2期376-384,共9页Journal of System Simulation

基　　金：国家自然科学基金(61834005);陕西省自然科学基础研究计划企业联合基金(2019JLM-11)。

摘　　要：精确的将牙齿从牙颌模型中分割出来是虚拟牙齿矫正系统的一个重要的预处理问题。现有方法在进行牙颌模型分割时,多会对所有的面片直接进行计算处理。针对该问题,提出一种基于目标区域约束的分割线探测方法,可以将探测范围锁定在实际分割线的周围。该方法根据种子点的位置自动构建切割平面及切割线;通过寻找切割线上负曲率最大的位置来锁定探测范围;根据曲率及角度信息进行分割线的探测。实验结果表明,该方法对各类畸形牙模型的适应性更好,可在保证牙齿分割精度的同时,有效提高分割效率。It is an important pretreatment of a virtual orthodontic system to accurately segment teeth from a dental model. In the present methods, all patches are computed directly. To solve this problem, this paper proposes a segmentation line detection method based on target region constraint, which narrows down the detection range to the area around the actual segmentation line. In this method, the cutting plane and the cutting line are automatically formed according to the positions of seed points. The detection range is determined by the search for the position with the greatest negative curvature on the cutting line. The segmentation line is detected depending on curvature and angle information. The experimental results show that this method has strong adaptability to various malformed tooth models and can greatly improve the segmentation efficiency while ensuring the accuracy of teeth segmentation.

关 键 词：虚拟牙齿矫正 牙齿分割 曲率特征 分割线探测 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]