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Robust Filtration Techniques in Geometrical Metrology and Their Comparison 被引量:2
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作者 Shan Lou Wen-Han Zeng +1 位作者 Xiang-Qian Jiang Paul J. Scott 《International Journal of Automation and computing》 EI CSCD 2013年第1期1-8,共8页
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 require... 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. 展开更多
关键词 geometrical metrology robust Gaussian regression filter robust spline filter morphological filters surface roughness
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