Filtration algorithms for three-dimensional images of rough surface reliefs are discussed, in particular robust algorithms that can eliminate random outliers and can be used to study the features of surfaces with stratified properties. The feasibility of a robust procedure for a Gaussian filter is demonstrated. Features of two-dimensional regression filters are examined.
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We would like to bring the attention of our readers to a continuation of the collection of articles dedicated to the 85th anniversary of the Moscow State Technological University STANKIN (MGTU STANKIN) begun in the previous issue (No. 7) of this journal.
Translated from Izmeritel’naya Tekhnika, No. 8, pp. 3–5, August, 2015.
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Markov, B.N., Shulepov, A.V. Two-Dimensional Filters for Images of Surface Roughness. Meas Tech 58, 835–838 (2015). https://doi.org/10.1007/s11018-015-0803-2
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DOI: https://doi.org/10.1007/s11018-015-0803-2