摘要
针对三维牙颌模型由于点云重建导致齿间区域融合的问题,提出一种能避开融合区域的牙齿分割算法。根据曲率筛选和邻接信息过滤得到特征区域,采用改进的形态学算法获得边界线,利用几何信息让边界线避开融合区域,通过改进的区域生长法把牙齿精确地分离出来。实验结果表明,使用该方法能够对不同牙齿模型进行正确分割,速度较为迅速,因避开了大部分融合区域,得到的单颗牙齿模型有助于牙齿矫形后续操作。
For the existence of region fusion between teeth caused by point cloud reconstruction,an improved tooth segmentation approach was applied to avoid the fusion region.Feature region was selected using mean curvature and connectivity information.Boundaries were got by using improved morphologic algorithm.Boundaries were put to avoid fusion area by using geometry information.The teeth were segmented using an improved region growing method.The experimental results show that using the proposed algorithm can get correct segmentation results and it has quick speed,and the single teeth model obtained avoids most of the fusion regions,which helps conducting subsequent operations of dental orthopedics.
出处
《计算机工程与设计》
北大核心
2016年第1期180-184,共5页
Computer Engineering and Design
基金
国家科技支撑计划基金项目(2012BAH62F03)
国家自然科学基金项目(61472261)
关键词
牙齿分割
形态学
融合区域
区域生长
牙齿矫形
tooth segmentation
morphology
fusion area
region growing
dental orthopedic
