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超声探伤点云数据拓扑关系的建立
引用本文:张春成.超声探伤点云数据拓扑关系的建立[J].兵工自动化,2011,30(4):64-66.
作者姓名:张春成
作者单位:海军装备部重庆军事代表局;
摘    要:针对超声探伤点云数据的特征,提出一种改进型的点云拓扑关系建立的算法。采用栅格法先对点云进行空间划分,然后在点所处附近栅格内进行邻域搜索。结果表明,与传统的算法相比,该算法能减少计算量,节省时间和内存,提高效率。

关 键 词:超声探伤  点云数据  拓扑关系  栅格划分  球邻域搜索
收稿时间:2013/1/17 0:00:00

Establishment Topological Relations with Ultrasonic Flaw Detectable Point Cloud Data
Zhang Chuncheng.Establishment Topological Relations with Ultrasonic Flaw Detectable Point Cloud Data[J].Ordnance Industry Automation,2011,30(4):64-66.
Authors:Zhang Chuncheng
Affiliation:Zhang Chuncheng(Chongqing Military Representative Bureau of Navy Equipment Department,Chongqing 400042,China)
Abstract:Aiming at the characteristics of point cloud data by ultrasonic flaw detection,there is a modified algorithm provided about creation of topological relations of point cloud.Use a modified grid algorithm for space division;and uses search sphere neighborhood for search neighborhood.Compared with the traditional algorithm,the result shows that it has less computation,so it saves time and memory,and improves efficiency.
Keywords:ultrasonic flaw detection  point cloud data  topological relation  grid division  sphere neighborhood search  
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