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Robust Filtering Algorithms for Roughness Profiles

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Measurement Techniques Aims and scope

Algorithms for robust filtering of surface roughness profiles are discussed which can be used to reject random outliers from measurement data and to study the features of surfaces with stratified properties. The shortcomings of the traditional Gaussian filters are analyzed. Examples are presented of algorithms applied to robust Gaussian and spline regression filtering.

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Authors and Affiliations

  1. STANKIN Moscow State Technological University, Moscow, Russia

    B. N. Markov & A. V. Shulepov

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  1. B. N. Markov
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  2. A. V. Shulepov
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Correspondence to B. N. Markov.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 7, pp. 4–7, July, 2015.

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Markov, B.N., Shulepov, A.V. Robust Filtering Algorithms for Roughness Profiles. Meas Tech 58, 730–735 (2015). https://doi.org/10.1007/s11018-015-0784-1

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  • DOI: https://doi.org/10.1007/s11018-015-0784-1

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