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

H.F. Li; X.Q. Jiang; Z. Li

doi:10.4028/www.scientific.net/KEM.295-296.459

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 295-296Combination of M-Estimation and Gaussian Filtering...

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.

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Periodical:

Key Engineering Materials (Volumes 295-296)

Pages:

459-464

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.295-296.459

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Online since:

October 2005

Authors:

H.F. Li, X.Q. Jiang, Z. Li

Keywords:

Abnormal Features, Gaussian Filtering, M-Estimation, Robust Weighting Function, Surface Topography

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References

[1] H. Li, X. Jiang and Z. Li: The 2 nd International Symposium on Instrumentation Science and Technology, China, Vol. 3 (2002), p.659.

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[2] S.J. Sheather: Robust Estimation and Testing (John Wiley and Sons Inc., New York 1990).

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[3] ISO 11562: 1996, Geometrical Product Specifications (GPS) - Surface Texture: Profile method - Metrological characteristics of phase correcting filters.

DOI: 10.3403/01414437u

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[4] H. Li, X. Jiang and Z. Li: Chinese Journal of Scientific Instruments, accepted.

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