Statistical characterization of surface morphologies

I.S. Atanasov, J.H. Durrell, L.A. Vulkova, Z.H. Barber and O.I. Yordanov

Physica A: Statistical Mechanics and its Applications, 2006, vol. 371, issue 2, 361-367

Abstract: We implement and assess several statistical methods for rough surface morphology characterization, which can largely be divided into two classes. The first class is based on estimation of two-point, quadratic statistical functions and includes: estimates of the sample autocovariance function, sample height–height correlation (also, structure) function, and periodogram estimate of the surface power spectrum. The second class incorporates estimation of up to the fourth statistical moments of the local curvature on a fixed scale.

Keywords: Statistical characterization of surfaces; AFM images; Surface anisotropy; Surface growth (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:371:y:2006:i:2:p:361-367

DOI: 10.1016/j.physa.2006.04.013

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