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 1476-8186Metadata 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.
|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
|Depositing User:||Shan Lou|
|Date Deposited:||21 Feb 2013 15:43|
|Last Modified:||28 Feb 2013 11:48|
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