Combination of M-Estimation and Gaussian Filtering for Characterizing 3D Engineering Surfaces

Abstract:

Article Preview

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 et al., "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

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.