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逆向工程中点云数据去噪算法的研究
引用本文:王雪晶,吕卫强. 逆向工程中点云数据去噪算法的研究[J]. 兵工自动化, 2007, 26(10): 39-40
作者姓名:王雪晶  吕卫强
作者单位:中国兵器工业第五八研究所,工业自动化工程技术部,四川,绵阳,621000;中国兵器工业第五八研究所,工业自动化工程技术部,四川,绵阳,621000
摘    要:基于曲率变化的曲线分段去噪法,先读入数据,将点云数据按扫描线顺序存储到数组A.再对除首末点外位于同一扫描线上的点,计算各点曲率.接着计算数组A中,等间距两点的曲率差,放到数组B,提取数组B中大于给定阈值的n个点.然后拟合曲线,计算各点到曲线的距离,并删除距离超差的点,直到处理完n 1段点云,由此处理完所有扫描线.

关 键 词:逆向工程  噪声点  曲率变化
文章编号:1006-1576(2007)10-0039-02
收稿时间:2007-09-08
修稿时间:2007-09-27

Research on Noise Remove Algorithm of Cloud-Data in Reverse Engineering
WANG Xue-jing,LV Wei-qiang. Research on Noise Remove Algorithm of Cloud-Data in Reverse Engineering[J]. Ordnance Industry Automation, 2007, 26(10): 39-40
Authors:WANG Xue-jing  LV Wei-qiang
Affiliation:Dept. of Industrial Automation Engineering Technology, No.58 Research Institute of China Ordnance Industries, Mianyang 621000, China
Abstract:The curve subsection noise remove algorithm based on curvature variation,read data at first,and store cloud-data in array A according to scanning line sequence.Then calculate curvature of each point on the same scanning line except start and end points.After that,calculate the curvature of equal space between two points and send them to array B and extract N points which are more than given threshold value.Then,simulate curve,calculate the distance between each point and curve.Delete the error distance point.At last,deal with N 1 subsection cloud data and scanning line.
Keywords:Reverse engineering  Noise point  Curvature varying
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