New method for estimating fractal dimension in 3D space and its application to complex surfaces

Babič, Matej (avtor), Miliaresis, George Ch. (avtor), Mikoš, Matjaž (avtor), Ambu, Rita (avtor), Calì, Michele (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: image analysis, fractal dimension, surface, space component, Hurst exponent H.
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FGG - Fakulteta za gradbeništvo in geodezijo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2019
• Št. strani: Str. 2154-2159
• Številčenje: Vol. 9, no. 6
• PID: 20.500.12556/RUL-114836
• UDK: 55
• ISSN pri članku: 2088-5334
• DOI: 10.18517/ijaseit.9.6.9480
• COBISS.SI-ID: 9010785

Avtorske pravice

Podatek o licenci CC BY 4.0 je naveden na pristajalni strani članka – glej izvorni URL zgoraj. (Datum opombe: 19. 5. 2025)

• Datum objave v RUL: 18.03.2020

Gradivo je del revije

• Naslov: International journal of advanced science, engineering and information technology
• Skrajšan naslov: Int. j. adv. sci. eng. inf. technol.
• Založnik: Indonesian Society for Knowledge and Human Development
• ISSN: 2088-5334
• COBISS.SI-ID: 524068633

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: analiza slik, fraktali, površine, prostorske komponente, Hurstov eksponent H

Projekti

• Financer: University of Catania

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: J7-8273
• Naslov: Prepoznavanje potencialno nevarnih hudourniških vršajev z metodami geomorfometrije in simulacijami nastanka vršajev