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计算机工程 ›› 2010, Vol. 36 ›› Issue (13): 13-14,17. doi: 10.3969/j.issn.1000-3428.2010.13.005

• 博士论文 • 上一篇    下一篇

三维几何信号经验模式分解及其应用

王建国1,王孝通1,徐晓刚2,秦绪佳3   

  1. (1. 大连舰艇学院航海系,大连 116018;2. 大连舰艇学院装备系统与自动化系,大连 116018;3. 浙江工业大学软件学院,杭州 310032)
  • 出版日期:2010-07-05 发布日期:2010-07-05
  • 作者简介:王建国(1981-),男,博士研究生,主研方向:多维信号处理,图形学;王孝通,教授、博士后、博士生导师;徐晓刚、 秦绪佳,教授、博士后
  • 基金资助:
    国家自然科学基金资助项目(60673063);辽宁省自然科学基金资助项目(20082176);大连舰艇学院科研发展基金资助项目(20090101);浙江大学CAD&CG国家重点实验室开放课题基金资助项目(A0906)

Empirical Mode Decomposition and Its Application of Three-dimension Geometry Signal

WANG Jian-guo1, WANG Xiao-tong1, XU Xiao-gang2, QIN Xu-jia3   

  1. (1. Department of Navigation, Dalian Naval Academy, Dalian 116018; 2. Department of Equipment Systems and Automation, Dalian Naval Academy, Dalian 116018; 3. School of Software, Zhejiang University of Technology, Hangzhou 310032)
  • Online:2010-07-05 Published:2010-07-05

摘要: 针对三维几何信号非线性、非平稳的特点,提出基于经验模式分解的三维几何信号处理方法。将信号球面参数化,映射到平面,进行均匀规则采样。对平面信号进行限领域的经验模式分解,得到各个内蕴模式图层。从图层信号得到不规则的原始映射信号,逆映射回三维几何模型信号。将该方法用于几何模型的光顺及增强处理,实验结果表明,该方法能够有效处理三维几何信号。

关键词:

mso-ascii-font-family: 'Times New Roman', mso-hansi-font-family: 'Times New Roman'">三维几何信号处理, 经验模式分解, 球面参数化, 去噪及增强

Abstract: The three-dimension geometry signal is usually nonlinear and non-stationary. According to this characteristic, a novel method based on Empirical Mode Decomposition(EMD) is presented to process the geometry signal. The main idea is to decompose the signal into some different detail components called Intrinsic Mode Function(IMF). The signal is parameterized as a spherical signal, transformed to the plane signal and sampled regularly. The translated signal can be processed as an image, using bid-empirical mode decomposition. After getting several image IMFs, these IMFs are inversely mapped to geometry signal and the geometry signal’s IMFs are got. The advanced power of the algorithm is proved by a number of experiments, including denoising and enhancement.

Key words: three-dimension geometry signal processing, Empirical Mode Decomposition(EMD), spherical parameterization, denoising and enhancement

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