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New method for estimating fractal dimension in 3D space and its application to complex surfaces
ID
Babič, Matej
(
Avtor
),
ID
Miliaresis, George
(
Avtor
),
ID
Sodnik, Jošt
(
Avtor
),
ID
Mikoš, Matjaž
(
Avtor
),
ID
Ambu, Rita
(
Avtor
),
ID
Calì, Michele
(
Avtor
)
PDF - Izvorna datoteka,
prenos
(2,79 MB)
MD5: 5774B63873E0B644D10FB4DCA9B175E1
URL - Izvorni URL, za dostop obiščite
http://dx.doi.org/10.18517/ijaseit.9.6.9480
Galerija slik
Izvleček
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.
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:
Letn. 9, št. 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
Datum objave v RUL:
18.03.2020
Število ogledov:
1173
Število prenosov:
456
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Licence
Licenca:
CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:
Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.
Začetek licenciranja:
18.03.2020
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
analiza slik
,
fraktali
,
površine
,
prostorske komponente
,
Hurstov eksponent H
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