## New Method for Estimating Fractal Dimension in 3D Space and Its Application to Complex Surfaces

Matej Babic (1), George Ch. Miliaresis (2), Matjaz Mikos (3), Rita Ambu (4), Michele Calì (5)
(1) Faculty of Information Studies, Ljubljanska cesta 31a, 8000 Novo mesto, Slovenia
(2) Open University of Cyprus, PO Box 12794, 2252 Nicosia, Cyprus
(3) Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova cesta 2, Ljubljana, Slovenia
(4) Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Via Marengo 2, Cagliari, 09123, Italy
(5) Electric, Electronics and Computer Engineering Department, University of Catania, viale A. Doria 6, Catania, 95125, Italy
##### How to cite (IJASEIT) :
Babic, Matej, et al. “New Method for Estimating Fractal Dimension in 3D Space and Its Application to Complex Surfaces”. International Journal on Advanced Science, Engineering and Information Technology, vol. 9, no. 6, Dec. 2019, pp. 2154-9, doi:10.18517/ijaseit.9.6.9480.
Citation Format :
The concept of “surface modeling” generally describes the process of representing a physical or artificial surface by a geometric model, namely a mathematical expression. Among the existing techniques applied for the characterization of a surface, terrain modeling relates to the representation of the natural surface of the Earth. Cartographic terrain or relief models as three-dimensional representations of a part of the Earth's surface convey an immediate and direct impression of a landscape and are much easier to understand than two-dimensional models. This paper addresses a major problem in complex surface modeling and evaluation consisting in the characterization of their topography and comparison among different textures, which can be relevant in different areas of research. A new algorithm is presented that allows calculating the fractal dimension of images of complex surfaces. The method is used to characterize different surfaces and compare their characteristics. The proposed new mathematical method computes the fractal dimension of the 3D space with the average space component of Hurst exponent H, while the estimated fractal dimension is used to evaluate, compare and characterize complex surfaces that are relevant in different areas of research. Various surfaces with both methods were analyzed and the results were compared. The study confirms that with known coordinates of a surface, it is possible to describe its complex structure. The estimated fractal dimension is proved to be an ideal tool for measuring the complexity of the various surfaces considered.

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