Influence of different wavelet filtering reconstruction techniques applied to bidimensional surface texture characterization

Abstract

This article develops a preliminary study of the wavelet filtering application in surface finishing, extracting two-dimensional information from the surface microgeometry in a profile. First, the key elements to be considered in the analysis are described, starting with the surface finishing process of measurement. Then, the fundamentals of wavelet-based filtering and the traditional filtration procedure is shown. This procedure eliminates the values of the detail coefficients obtained in the filtering process before the reconstruction of the signal. Other alternatives of filtration, based on the shrinkage wavelet methodology, are also considered. Next, the features of the surface finish characteristic signals are highlighted, and the alternatives considered are applied on three different profiles generated from the result of a Brinell hardness test. Finally, the main conclusions drawn from the study are presented.