Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

Recognition of topology feature of Graphene by image processing technique

Authors
Maofa Wang, Jilin Feng, Xiaoping Zou, Xiaoli Li, Pan Li
Corresponding Author
Maofa Wang
Available Online May 2014.
DOI
https://doi.org/10.2991/iccia.2012.373How to use a DOI?
Keywords
graphene, feature values, topology structure, digital image processing
Abstract

In order to extract characteristic values of graphene, a method based on a series of digital image processing algorithms was proposed in this paper. Using the method, we can automatically analyze topology structure and calculate amount of carbon atoms, and even calculate chiral vector indices (n, m) during in-situ TEM scanning of graphene. At last, we also write the correlative software with c++, which applying the digital image processing algorithms, and give out the processing result of several classic TEM image of graphene.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccia.2012.373How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Maofa Wang
AU  - Jilin Feng
AU  - Xiaoping Zou
AU  - Xiaoli Li
AU  - Pan Li
PY  - 2014/05
DA  - 2014/05
TI  - Recognition of topology feature of Graphene by image processing technique
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1505
EP  - 1508
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.373
DO  - https://doi.org/10.2991/iccia.2012.373
ID  - Wang2014/05
ER  -