An fast and efficient algorithm for spline filters

W. Zeng; X. Jiang; S. Lou; P. J. Scott

doi:10.1109/IConAC.2014.6935493

An fast and efficient algorithm for spline filters

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	237-242
Number of pages	6
ISBN (Electronic)	9781909522022
DOIs	https://doi.org/10.1109/IConAC.2014.6935493
Publication status	Published - 24 Oct 2014
Event	20th International Conference on Automation and Computing - Cranfield, United Kingdom Duration: 12 Sep 2014 → 13 Sep 2014 Conference number: 20

Conference

Conference	20th International Conference on Automation and Computing
Abbreviated title	ICAC 2014
Country/Territory	United Kingdom
City	Cranfield
Period	12/09/14 → 13/09/14

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Cite this

@inproceedings{6860dc4ed8084ac09b6297b6bcf9fe46,

title = "An fast and efficient algorithm for spline filters",

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 = "Fast algorithm, Spline filter, Surafce characterisation, Surface texture",

author = "W. Zeng and X. Jiang and S. Lou and Scott, {P. J.}",

year = "2014",

month = oct,

day = "24",

doi = "10.1109/IConAC.2014.6935493",

language = "English",

pages = "237--242",

booktitle = "ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "20th International Conference on Automation and Computing, ICAC 2014 ; Conference date: 12-09-2014 Through 13-09-2014",

}

Zeng, W , Jiang, X , Lou, S & Scott, PJ 2014, An fast and efficient algorithm for spline filters. in ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing., 6935493, Institute of Electrical and Electronics Engineers Inc., pp. 237-242, 20th International Conference on Automation and Computing, Cranfield, United Kingdom, 12/09/14. https://doi.org/10.1109/IConAC.2014.6935493

An fast and efficient algorithm for spline filters. / Zeng, W.; Jiang, X.; Lou, S. et al.

ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing. Institute of Electrical and Electronics Engineers Inc., 2014. p. 237-242 6935493.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An fast and efficient algorithm for spline filters

AU - Zeng, W.

AU - Jiang, X.

AU - Lou, S.

AU - Scott, P. J.

N1 - Conference code: 20

PY - 2014/10/24

Y1 - 2014/10/24

N2 - 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.

AB - 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.

KW - Fast algorithm

KW - Spline filter

KW - Surafce characterisation

KW - Surface texture

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U2 - 10.1109/IConAC.2014.6935493

DO - 10.1109/IConAC.2014.6935493

M3 - Conference contribution

AN - SCOPUS:84912121312

SP - 237

EP - 242

BT - ICAC 2014 - Proceedings of the 20th International Conference on Automation and Computing: Future Automation, Computing and Manufacturing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 20th International Conference on Automation and Computing

Y2 - 12 September 2014 through 13 September 2014

ER -

An fast and efficient algorithm for spline filters

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