Decreasing the amplitude deviation of Guassian filter in surface roughness measurements

Bo Liu; Yu Wang

doi:10.1117/12.819744

31 December 2008 Decreasing the amplitude deviation of Guassian filter in surface roughness measurements

Bo Liu, Yu Wang

Proceedings Volume 7130, Fourth International Symposium on Precision Mechanical Measurements; 713054 (2008) https://doi.org/10.1117/12.819744
Event: Fourth International Symposium on Precision Mechanical Measurements, 2008, Anhui, China

Abstract

A new approach for decreasing the amplitude characteristic deviation of Guassian filter in surface roughness measurements is presented in this paper. According to Central Limit Theorem, many different Guassian approximation filters could be constructed. By using first-order Butterworth filter and moving average filter to approximate Guassian filter, their directions of amplitude deviation are opposite, and their locations of extreme value are close. So the linear combination of them could reduce the amplitude deviation greatly. The maximum amplitude deviation is only about 0.11% through paralleling them. The algorithm of this new method is simple and its efficiency is high.

Citation Download Citation

Bo Liu and Yu Wang "Decreasing the amplitude deviation of Guassian filter in surface roughness measurements", Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 713054 (31 December 2008); https://doi.org/10.1117/12.819744

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