Journal of Physics A Mathematical and General · 1994 · 85 citations · 7 references
Natural SciencesMathematicsComputational GeometryGeometryTime Series AnalysisFractal GeometryNumerical AnalysisSurface RoughnessFractal AnalysisFractal DimensionFractal RoughnessHurst Exponent EstimationRoughness
One-dimensional profiles f(x) can be characterized by a Minkowski-Bouligand dimension D and by a scale-dependent generalized roughness W(f, epsilon ). This roughness can be defined as the dispersion around a chosen fit to f(x) in an epsilon -scale. It is shown that D=limepsilon to 0(2-In W(f, epsilon )/In epsilon ) holds for profiles nowhere differentiable. This establishes a close connection between the roughness and the fractal dimension and proves that D=2-H for self-affine profiles (H is the roughness or Hurst exponent). Two numerical algorithms based on the roughness, one around the local average (f(x))epsilon (usual roughness) and the other around the local RMS straight line (a generalized roughness), are discussed. The estimates of D for standard self-affine profiles are reliable and robust, especially for the last method.
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Self-Affine Fractals and Fractal Dimension
Benoît B. Mandelbrot · Physica Scripta · 1985 · 1K citations
Evaluating the fractal dimension of profiles
Benoit Dubuc, J.F. Quiniou, C. Roques‐Carmes et al. · Physical review. A, General physics · 1989 · 451 citations