摘要
受层间距的影响,工业CT数据重建网格模型时会产生阶梯状伪影。为了在生成网格模型的同时去除阶梯状伪影,提出一种新的去除表面伪影的方法。首先建立工业CT点云数据的k-邻域,通过高斯加权的协方差分析估算出点云法矢量,然后使用双边滤波去除点云中的噪声,最后通过二次误差函数拟合点云,使用自适应圆球覆盖方法对点云进行网格化处理。实验结果表明,所提方法能够有效去除阶梯状伪影,并且在合理的精度范围内可以生成高质量的三角网格模型。
Due to slices distance factor, surface meshes extracted from industrial CT data often contain stair-stepped artifacts. To remove stair-stepped artifacts during mesh generation, a novel removal surface artifacts method was proposed. The k-nearest neighbors of industrial CT point clouds were constructed, the point cloud vector were esti- mated based on Gaussian weight covariance analysis and the noise from point clouds was removed by bilateral filte- ring. The point clouds were fitted by quadric error function and the triangular meshes was managed by adaptive spherical cover method. The experimental results showed that the proposed approach could efficiently remove stair- stepped artifacts and produce high-quality triangular meshes with a reasonable accuracy.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2014年第2期284-289,共6页
Computer Integrated Manufacturing Systems
基金
重庆市科技攻关资助项目(CSTC2009AC3047)
国家863计划资助项目(2006AA04Z104)~~
关键词
逆向工程
工业CT
阶梯状伪影
网格重建
reverse engineering
industrial CT
stair-stepped artifacts
mesh reconstruction