Volume 37 Issue 1
Jan.  2011
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Sun Dianzhu, Zhu Changzhi, Fan Zhixian, et al. Self-adaptive filtering algorithm for scattered points[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(1): 76-80. (in Chinese)
Citation: Sun Dianzhu, Zhu Changzhi, Fan Zhixian, et al. Self-adaptive filtering algorithm for scattered points[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(1): 76-80. (in Chinese)

Self-adaptive filtering algorithm for scattered points

  • Received Date: 26 Nov 2009
  • Publish Date: 31 Jan 2011
  • A self-adaptive filtering algorithm for scattered points was proposed. The node splitting algorithm and the clustering algorithm of R*-tree were improved and the spacial index structure of triangular mesh model was established based on the improved R*-tree; The local surface reference data was obtained according to data nodes- distributing of the spacial index structure; The filtering weight was computed by self-adjusting figure feature of 2-D Gauss distributing according to its local surface reference data; The weight value of local surface reference data to originality surface data was computed, and the coordinate of scattered points was computed according to this weight value; The self-adaptive filtering for scattered points was realized with the method of weighted mean. It proved that this algorithm can improve the efficiency of filtering and reduce the random error of the scattered points on the basis of the accurate reservation of surface characteristic.

     

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  • [1] 简斌,田竹友.逆向工程中NURBS曲面重构的数据筛选研究[J].机械设计与研究,2002,18(3):51-53 Jian Bin,Tian Zhuyou.Research of data riddling on reconstruction of NURBS surfaces in reverse engineering[J].Machine Design and Research,2002,18(3):51-53(in Chinese) [2] 姜会亮,郭振民,胡学龙.数字图象处理中几种平滑技术的研究比较[J].现代电子技术,2004,175(8):80-84 Jiang Huiliang,Guo Zhenmin,Hu Xuelong.Research and comparison of some techniques of smoothing in digital image processing[J].Modern Electronics Technique,2004,175(8):80-84(in Chinese) [3] 孙殿柱,朱昌志,李延瑞,等.散乱点云局部型面参考数据的快速查询算法[J].农业机械学报,2009,40(5):218-221 Sun Dianzhu,Zhu Changzhi,Li Yanrui,et al.Algorithm of local model reference data querying for scattered points[J].Transactions of the Chinese Society for Agricultural Machinery,2009,40(5):218-221(in Chinese) [4] 赵灿,陈树民,王从军.面向快速原型制造的逆向工程三维离散数据点云处理技术[J].机械设计与制造,2004(4):115-116 Zhao Can,Chen Shumin,Wang Congjun.Research on processing technigues of three-dimension discrete data of reverse engineering based rapid prototyping manufacturing[J].Machinery Design & Manufacture,2004(4):115-116(in Chinese)  [5] Wang C L,Yuen M F.A binary morphology-based filtering algorithm for reverse engineering [J].The International Journal of Advanced Manufacturing Technology,2003,21(4):257-262  [6] Zhang Xuechang,Xi Juntong,Yan Junqi.A methodology for smoothing of point cloud data based on anisotropic heat conduction theory[J].The International Journal of Advanced Manufacturing Technology,2006,30(8):70-75  [7] Norbert B,Hans-Peter B,Ralf S.The R*-tree:an efficient and robust access method for points and rectangles+ [J].ACM,1990:322-331 [8] 孙殿柱,范志先,李延瑞,等.散乱数据点云型面特征分析算法的研究与应用[J].机械工程学报,2007,43(6):133-136 Sun Dianzhu,Fan Zhixian,Li Yanrui,et al.Research and application of surface feature analysis for scatter data points[J].Chinese Journal of Mechanical Engineering,2007,43(6):133-136(in Chinese)  [9] Zhu Qing,Gong Jun,Zhang Yeting.An efficient 3D R-tree spatial index method for virtual geographic environments[J]. ISPRS Journal of Photogrammertry and Remote Sensing,2007,62(3):217-224  [10] Brakatsoulas S,Pfoser D,Theodoridis Y. Revisiting R-tree construction principles //Advances in Databases and Information Systems,6th East European Conf.Slovakia:Springer-Verlag,2002:149-162
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