Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
On the application of multifractal methods for the analysis of sea surface images related to sea state determination. / Ampilova, N.; Soloviev, I.; Kotopoulis, Apostolos; Pouraimis, George; Frangos, Panayiotis.
14th International Conference on Communications, Electromagnetics and Medical Applications. ed. / Dimiter Tz. Dimitrov. Sofia : TECHNICAL UNIVERSITY OF SOFIA, 2019. p. 32-35 (Communication, Electromagnetics and Medical Application; Vol. 2019-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - On the application of multifractal methods for the analysis of sea surface images related to sea state determination
AU - Ampilova, N.
AU - Soloviev, I.
AU - Kotopoulis, Apostolos
AU - Pouraimis, George
AU - Frangos, Panayiotis
PY - 2019/10/17
Y1 - 2019/10/17
N2 - Digital images may register states of a process, and image analysis help us to study this process and its peculiarities. In spite of the fact that there are a lot of textbooks on techniques of image analysis, any new problem may requires a new method. Last decades fractal and multifractal methods are often used to analyze high resolution images having complex textures. In many cases fractal characteristics may be considered as classifying signs for further clustering. In this paper we present two multifractal methods. The first method allows us to obtain multifractal spectra and decompose an initial image into the union of nonintersecting sets. The second one is based on the transformation of an initial measure distribution under so called "direct multifractal transform" and calculation of information dimensions of measure supports. The examples of application of these techniques are given for various kinds of sea surface images.
AB - Digital images may register states of a process, and image analysis help us to study this process and its peculiarities. In spite of the fact that there are a lot of textbooks on techniques of image analysis, any new problem may requires a new method. Last decades fractal and multifractal methods are often used to analyze high resolution images having complex textures. In many cases fractal characteristics may be considered as classifying signs for further clustering. In this paper we present two multifractal methods. The first method allows us to obtain multifractal spectra and decompose an initial image into the union of nonintersecting sets. The second one is based on the transformation of an initial measure distribution under so called "direct multifractal transform" and calculation of information dimensions of measure supports. The examples of application of these techniques are given for various kinds of sea surface images.
KW - Digital image analysis
KW - multifractal methods
KW - multifractal spectra
KW - information dimension
UR - http://www.scopus.com/inward/record.url?scp=85075653033&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85075653033
T3 - Communication, Electromagnetics and Medical Application
SP - 32
EP - 35
BT - 14th International Conference on Communications, Electromagnetics and Medical Applications
A2 - Dimitrov, Dimiter Tz.
PB - TECHNICAL UNIVERSITY OF SOFIA
CY - Sofia
T2 - 14th International Conference on Communications, Electromagnetics and Medical Applications, CEMA 2019
Y2 - 17 October 2019 through 19 October 2019
ER -
ID: 48317217