Comparison of Robust Filtration Techniques in Geometrical Metrology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Filtration is one of core elements of analysis tools in geometrical metrology. Filtration techniques are progressing along with the advancement of manufacturing technology. The modern filtration techniques are requested to be robust against outliers, applicable to surfaces with complex shape and reliable in whole range of measurement data. A comparison study is conducted to evaluate commonly used robust filtration techniques in the field of geometrical metrology, including the two-stage Gaussian filter, the robust Gaussian regression filter, the robust spline filter and morphological filters. They are compared in terms of four aspects: functionality, mathematical computation, capability and characterization parameters. As a result, it offers metrologists an instruction to choose the appropriate filter for various applications.

LanguageEnglish
Title of host publication18th International Conference on Automation and Computing (ICAC)
Subtitle of host publicationIntegration of Design and Engineering
PublisherIEEE
Pages224-229
Number of pages6
ISBN (Electronic)9781908549006
ISBN (Print)9781467317221
Publication statusPublished - 15 Oct 2012
Event18th International Conference on Automation and Computing: Integration of Design and Engineering - Loughborough University, Leicestershire, United Kingdom
Duration: 7 Sep 20128 Sep 2012
Conference number: 18
https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=20732 (Link to Conference Website)

Conference

Conference18th International Conference on Automation and Computing
Abbreviated titleICAC 2012
CountryUnited Kingdom
CityLeicestershire
Period7/09/128/09/12
Internet address

Fingerprint

Splines

Cite this

Lou, S., Zeng, W., Jiang, X., & Scott, P. J. (2012). Comparison of Robust Filtration Techniques in Geometrical Metrology. In 18th International Conference on Automation and Computing (ICAC): Integration of Design and Engineering (pp. 224-229). [6330518] IEEE.
Lou, Shan ; Zeng, Wenhan ; Jiang, Xiangqian ; Scott, Paul J. / Comparison of Robust Filtration Techniques in Geometrical Metrology. 18th International Conference on Automation and Computing (ICAC): Integration of Design and Engineering. IEEE, 2012. pp. 224-229
@inproceedings{6d7967b4218c4984b287c9fbb88751a3,
title = "Comparison of Robust Filtration Techniques in Geometrical Metrology",
abstract = "Filtration is one of core elements of analysis tools in geometrical metrology. Filtration techniques are progressing along with the advancement of manufacturing technology. The modern filtration techniques are requested to be robust against outliers, applicable to surfaces with complex shape and reliable in whole range of measurement data. A comparison study is conducted to evaluate commonly used robust filtration techniques in the field of geometrical metrology, including the two-stage Gaussian filter, the robust Gaussian regression filter, the robust spline filter and morphological filters. They are compared in terms of four aspects: functionality, mathematical computation, capability and characterization parameters. As a result, it offers metrologists an instruction to choose the appropriate filter for various applications.",
keywords = "Geometrical Metrology, Morphological Filters, Robust Gaussian Regression Filter, Robust Spline Filter",
author = "Shan Lou and Wenhan Zeng and Xiangqian Jiang and Scott, {Paul J.}",
year = "2012",
month = "10",
day = "15",
language = "English",
isbn = "9781467317221",
pages = "224--229",
booktitle = "18th International Conference on Automation and Computing (ICAC)",
publisher = "IEEE",

}

Lou, S, Zeng, W, Jiang, X & Scott, PJ 2012, Comparison of Robust Filtration Techniques in Geometrical Metrology. in 18th International Conference on Automation and Computing (ICAC): Integration of Design and Engineering., 6330518, IEEE, pp. 224-229, 18th International Conference on Automation and Computing, Leicestershire, United Kingdom, 7/09/12.

Comparison of Robust Filtration Techniques in Geometrical Metrology. / Lou, Shan; Zeng, Wenhan; Jiang, Xiangqian; Scott, Paul J.

18th International Conference on Automation and Computing (ICAC): Integration of Design and Engineering. IEEE, 2012. p. 224-229 6330518.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Comparison of Robust Filtration Techniques in Geometrical Metrology

AU - Lou, Shan

AU - Zeng, Wenhan

AU - Jiang, Xiangqian

AU - Scott, Paul J.

PY - 2012/10/15

Y1 - 2012/10/15

N2 - Filtration is one of core elements of analysis tools in geometrical metrology. Filtration techniques are progressing along with the advancement of manufacturing technology. The modern filtration techniques are requested to be robust against outliers, applicable to surfaces with complex shape and reliable in whole range of measurement data. A comparison study is conducted to evaluate commonly used robust filtration techniques in the field of geometrical metrology, including the two-stage Gaussian filter, the robust Gaussian regression filter, the robust spline filter and morphological filters. They are compared in terms of four aspects: functionality, mathematical computation, capability and characterization parameters. As a result, it offers metrologists an instruction to choose the appropriate filter for various applications.

AB - Filtration is one of core elements of analysis tools in geometrical metrology. Filtration techniques are progressing along with the advancement of manufacturing technology. The modern filtration techniques are requested to be robust against outliers, applicable to surfaces with complex shape and reliable in whole range of measurement data. A comparison study is conducted to evaluate commonly used robust filtration techniques in the field of geometrical metrology, including the two-stage Gaussian filter, the robust Gaussian regression filter, the robust spline filter and morphological filters. They are compared in terms of four aspects: functionality, mathematical computation, capability and characterization parameters. As a result, it offers metrologists an instruction to choose the appropriate filter for various applications.

KW - Geometrical Metrology

KW - Morphological Filters

KW - Robust Gaussian Regression Filter

KW - Robust Spline Filter

UR - http://www.scopus.com/inward/record.url?scp=84869425498&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781467317221

SP - 224

EP - 229

BT - 18th International Conference on Automation and Computing (ICAC)

PB - IEEE

ER -

Lou S, Zeng W, Jiang X, Scott PJ. Comparison of Robust Filtration Techniques in Geometrical Metrology. In 18th International Conference on Automation and Computing (ICAC): Integration of Design and Engineering. IEEE. 2012. p. 224-229. 6330518