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PUBLICATIONS

A simple and fast spline filtering algorithm for surface metrology

Published

Author(s)

Hao H. Zhang, Daniel B. Ott, Jun-Feng Song, D Ott, Wei Chu

Abstract

The spline filters and the corresponding robust filters are commonly used filters recommended in ISO standards for surface evaluation. Generally, these linear and non-linear spline filters, composed of symmetric, positive-definite matrices, are always solved in an iterative fashion based on Cholesky decomposition. They have been demonstrated to be relatively efficient, but complicated and inconvenient to implement. A new algorithm for the spline filter is proposed by means of the discrete cosine transform or the discrete Fourier transform. The algorithm is conceptually simple and very convenient to implement.
Citation
Journal of Research (NIST JRES) -
NIST Pub Series
Journal of Research (NIST JRES)
Pub Type
NIST Pubs

Download Paper

https://doi.org/10.6028/jres.120.010
Local Download

Keywords

Surface metrology, Spline filter, Discrete cosine transform, Discrete Fourier transform
Process measurement and control, Forensic Science and Firearms and toolmarks

Citation

Zhang, H. , Ott, D. , Song, J. , Ott, D. and Chu, W. (2015), A simple and fast spline filtering algorithm for surface metrology, Journal of Research (NIST JRES), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/jres.120.010, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=918312 (Accessed April 26, 2024)

Created July 13, 2015, Updated November 14, 2018