Paper Title:
Combination of M-Estimation and Gaussian Filtering for Characterizing 3D Engineering Surfaces
  Abstract

A reliable reference is the key to characterize surface topography. Gaussian filtering is strongly recommended by experts in the international standardization field. However, it can be affected by abnormal surface features. Based on the principle of M-estimation, a novel robust weighting function is proposed to improve the Gaussian filtering and a 3D robust Gaussian filtering model is developed. Experimental results have proven them effective.

  Info
Periodical
Key Engineering Materials (Volumes 295-296)
Edited by
Yongsheng Gao, Shuetfung Tse and Wei Gao
Pages
459-464
DOI
10.4028/www.scientific.net/KEM.295-296.459
Citation
H.F. Li, X.Q. Jiang, Z. Li, "Combination of M-Estimation and Gaussian Filtering for Characterizing 3D Engineering Surfaces", Key Engineering Materials, Vols. 295-296, pp. 459-464, 2005
Online since
October 2005
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Price
$32.00
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