An fast and efficient algorithm for spline filters

Author

Zeng, W. ; Jiang, Xinyang ; Lou, Suhua ; Scott, P.J.

Author_Institution

EPSRC Centre for Innovative Manuf. in Adv. Metrol., Univ. of Huddersfield, Huddersfield, UK

fYear

2014

fDate

12-13 Sept. 2014

Firstpage

237

Lastpage

242

Abstract

Filtration is very important for surface texture characterization. Spline filters that include linear and robust filters are recommended by ISO/TS 16610-22 and 32. In this paper, a general algorithm for both the linear and the robust spline filters is presented. The main advantage of the proposed algorithm is its ability to produce different types of filters only by choosing different M-estimators as shown in this note. This proposed algorithm relies on the Cholesky decomposition technique with an improved memory management procedure. Experimental and simulated results show that the proposed algorithm is fast, efficient and stable.

Keywords

filtering theory; splines (mathematics); surface texture; Cholesky decomposition technique; ISO/TS 16610-22; ISO/TS 16610-32; M-estimators; linear filters; memory management procedure; spline filters; surface texture characterization; Filtering algorithms; Filtering theory; Finite impulse response filters; Maximum likelihood detection; Nonlinear filters; Robustness; Splines (mathematics); Fast algorithm; Spline filter; Surafce characterisation; Surface texture;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Computing (ICAC), 2014 20th International Conference on

Conference_Location

Cranfield

Type

conf

DOI

10.1109/IConAC.2014.6935493

Filename

6935493