A study of filtering techniques for areal surface topography assessment

Abstract

This paper reports an investigation of digital filtering of areal stratified surface textures. The Gaussian robust filtering technique was established, several typical robust weight functions were adopted and the valley suppression Rk filter of surface topography was also included. The results for areal surface topographies of symmetric ordinate distribution filtering were analysed and compared with those obtained after using the Gaussian regression filter. In these cases the waviness and roughness parameters after using Gaussian and other filters should be similar. The computer-generated areal surfaces that had triangular scratches and measured stratified surfaces were also subjected to filtering. The surface roughness distortion and computation time were compared. Based on the comparison results, some digital filters are recommended.

Identifying Experimental Tool Use Through Confocal Microscopy

“…In fact, as we will discuss later, dealing with the variability in the degree of development of the polish is one of the most important challenges of use-wear quantification studies (González Urquijo & Ibáñez, 2003 ;Bietti et al, 1994) 3. Filtering is an important step in the analysis (Dobrzański & Pawlus, 2011) as the characteristics of the polished surface have to be discriminated from the original flint surface topography. We have used a quite strong filtering algorithm for isolating the smaller wavelength components of topography (Sullivan, 2001).…”

Reduction of Influence of the High-Frequency Noise on the Results of Surface Topography Measurements

“…Free-of-dimple analysis, firstly proposed in this paper, indicates the areas of surface where oil reservoirs (oil pockets or dimples) did not occur. This type of analyzed detail is flat in general, waviness and form were eliminated; many papers contain relevant information about areal form removal of “engineered surfaces” [ 55 , 56 , 57 , 58 , 59 , 60 , 61 ] and its influence on the tribological performance, e.g., friction [ 62 ]. Therefore, the selection of roughness separation (F-operator) method was not scrutinized in the presented results.…”

Characterization of the In Situ‐Formed Oxide Layer at the Steel Melt/Carbon‐Bonded Alumina Interface

“…For each zone, three assembly micrographs from the left, middle, and right sections of the zone with a dimension of 800 μm × 500 μm and a resolution of 0.142 μm were obtained. The waviness of the sample surface was corrected by applying a low‐pass noise filter with λ = 0.8 μm according to previous studies . Three lines of the surface profile were examined with a sampling length of 800 μm each.…”