Robust Filtration Techniques in Geometrical Metrology and Their Comparison

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Abstract

Filtration is one of the core elements of analysis tools in geometrical metrology. Filtration techniques are progressing along with the advancement of manufacturing technology. Modern filtration techniques are required 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, this study offers metrologists a guideline to choose the appropriate filter for various applications.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalInternational Journal of Automation and Computing
Volume10
Issue number1
DOIs
Publication statusPublished - 1 Feb 2013

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Metrology
Filtration
Filter
Morphological Filter
Gaussian Filter
Splines
Complex Geometry
Outlier
Spline
Geometry
Choose
Manufacturing
Regression
Evaluate
Range of data

Cite this

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