Computing and Library Services - delivering an inspiring information environment

Robust Filtration Techniques in Geometrical Metrology and Their Comparison

Lou, Shan, Zeng, Wenhan, Jiang, Xiang and Scott, Paul J. (2013) Robust Filtration Techniques in Geometrical Metrology and Their Comparison. International Journal of Automation and Computing, 10 (1). pp. 1-8. ISSN 1476-8186

Metadata only available from this repository.


Filtration is one of core elements of analysis tools in geometrical metrology. Filtration techniques are progressing along with the advancement of manufacturing technology. Modern filtration techniques are requested to be robust against outliers, applicable to surfaces with complex geometry 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 guideline to choose the appropriate filter for various applications.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Centre for Precision Technologies > EPSRC Centre for Innovative Manufacturing in Advanced Metrology
Related URLs:
Depositing User: Shan Lou
Date Deposited: 21 Feb 2013 15:43
Last Modified: 28 Aug 2021 11:26


Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©