Proceedings of the 2016 International Conference on Education, Management and Computer Science

Microscopic Characteristics Research about Eaglewood Based on the Theory of Digital Detection Technology

Authors
Zhuang Li, Haifeng Wang, Kun Zhang
Corresponding Author
Zhuang Li
Available Online May 2016.
DOI
10.2991/icemc-16.2016.143How to use a DOI?
Keywords
Microscopic characteristics; Digital detection; Detection of eaglewood; Cell structure.
Abstract

In this paper, the computer vision technology is applied to eaglewood microscopic characteristics of organization structure research, development of the automation and intelligence of eaglewood organizational structure measurement and identification technology. To explore the establishment of eaglewood microstructure, microscopic characteristics of eaglewood. Using computer vision technology eaglewood microscopic cell image research, from the microscopic characteristics of incense for detection and identification technology research.

Copyright
© 2016, 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 2016 International Conference on Education, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
May 2016
ISBN
10.2991/icemc-16.2016.143
ISSN
1951-6851
DOI
10.2991/icemc-16.2016.143How to use a DOI?
Copyright
© 2016, 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  - Zhuang Li
AU  - Haifeng Wang
AU  - Kun Zhang
PY  - 2016/05
DA  - 2016/05
TI  - Microscopic Characteristics Research about Eaglewood Based on the Theory of Digital Detection Technology
BT  - Proceedings of the 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SP  - 708
EP  - 712
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.143
DO  - 10.2991/icemc-16.2016.143
ID  - Li2016/05
ER  -