Quantitative Methods for the Characterization of Complex Surface Structures.

Alejandro Mora; Maria Haase

Attempting to model the processes resulting in complex pattern formation and small-scale roughness of surfaces and to compare with experimental measurements calls for numerical methods which allow a quantitative characterization being as complete as possible. New methods incorporating wavelets and stochastic approaches based on the theory of Markov processes allow a stepwise characterization of increasing completeness and unambiguousness. In this paper we demonstrate the underlying numerical approaches taking electropolished and laser-jet etched surfaces for demonstration.

STOCHASTIC processes; ESTIMATION theory; DEVELOPMENTAL biology; SURFACE structure (Linguistics)

Nonlinear Dynamics, 2006, Vol 44, Issue 1, p307

0924-090X

Academic Journal

10.1007/s11071-006-2011-8