DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Identification of the Interface in a Binary Complex Plasma Using Machine Learning

Huang, He and Schwabe, Mierk and Du, Chengran (2019) Identification of the Interface in a Binary Complex Plasma Using Machine Learning. Journal of Imaging, 5 (3), p. 36. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/jimaging5030036 ISSN 2313-433X

[img] PDF - Published version

Official URL: https://www.mdpi.com/2313-433X/5/3/36/


A binary complex plasma consists of two different types of dust particles in an ionized gas. Due to the spinodal decomposition and force imbalance, particles of different masses and diameters are typically phase separated, resulting in an interface. Both external excitation and internal instability may cause the interface to move with time. Support vector machine (SVM) is a supervised machine learning method that can be very effective for multi-class classification. We applied an SVM classification method based on image brightness to locate the interface in a binary complex plasma. Taking the scaled mean and variance as features, three areas, namely small particles, big particles and plasma without dust particles, were distinguished, leading to the identification of the interface between small and big particles.

Item URL in elib:https://elib.dlr.de/126788/
Document Type:Article
Title:Identification of the Interface in a Binary Complex Plasma Using Machine Learning
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Huang, HeDonghua UniversityUNSPECIFIED
Schwabe, MierkMierk.Schwabe (at) dlr.dehttps://orcid.org/0000-0001-6565-5890
Du, Chengranchengran.du (at) dhu.edu.cnUNSPECIFIED
Date:March 2019
Journal or Publication Title:Journal of Imaging
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
DOI :10.3390/jimaging5030036
Page Range:p. 36
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Keywords:komplexe Plasmen, staubige Plasmen, Grenzfläche, Bildbearbeitung, maschinelles Lernen
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Research under Space Conditions
DLR - Research area:Raumfahrt
DLR - Program:R FR - Forschung unter Weltraumbedingungen
DLR - Research theme (Project):R - Komplexe Plasmen / Zero gravity
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Materials Physics in Space > Research Group Complex Plasma
Deposited By: Schwabe, Dr. Mierk
Deposited On:13 Mar 2019 10:00
Last Modified:14 Dec 2019 04:25

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.