Logo BSU

Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/256821
Title: Modeling of Lizard Skin Pattern by Cellular Automaton
Authors: Grabec, I.
Sok, A. E.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физика
Issue Date: 2020
Publisher: Minsk : Education and Upbringing
Citation: Nonlinear Phenomena in Complex Systems. - 2020. - Vol. 23. - № 1. - P. 1-16
Abstract: Properties of lizard skin pattern (LSP) comprised of light and dark scales are characterized statistically and compared with the corresponding properties of a random binary field (RBF). The similarity function of these fields exhibits an outstanding peak that indicates their stochastic character. Stochastic properties are still more generally indicated by the probability distribution of scales in hexagonal cells comprised of a center and ring. It shows that similar scales are grouped together in LSP, but not in RBF. This difference is characterized by the conditional probability that reveals why LSP appears more striped than RBF. For generation of fields resembling LSP the cellular automaton (CA) is adapted to LSP by the non-parametric regression. Its deterministic performance is demonstrated by the operation on RBF. By adding a random number generator to this model the deterministic CA is generalized to a probabilistic one. Its actions cause more expressive changing of the input field as the actions of the deterministic CA.
URI: https://elib.bsu.by/handle/123456789/256821
ISSN: 1561-4085
Scopus: https://doi.org/10.33581/1561-4085-2020-23-1-1-16
Licence: info:eu-repo/semantics/restrictedAccess
Appears in Collections:2020. Volume 23. Number 1

Files in This Item:
File Description SizeFormat 
v23no1p1.pdf2,12 MBAdobe PDFView/Open
Show full item record Google Scholar



PlumX

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.