Proceedings of the 2017 2nd International Conference on Automatic Control and Information Engineering (ICACIE 2017)

Key Point Recognition Method of Bacterial Image in Water Based on Complex Network

Authors
Qingyu Zou, Tao Wang, Yun Qian
Corresponding Author
Qingyu Zou
Available Online August 2017.
DOI
10.2991/icacie-17.2017.35How to use a DOI?
Keywords
bacterial image; key point recognition; complex network; water
Abstract

Water is the material basis of human life. In recent years, water pollution has received more and more attention. The degree of water contamination by bacteria can make a correct assessment by detecting microbes in water. In this paper, an image recognition technique based on complex network is proposed, which is used to detect the key pixels of bacteria in water. The experimental results show that this method can effectively identify the key pixels of bacterial images in water.

Copyright
© 2017, 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 2017 2nd International Conference on Automatic Control and Information Engineering (ICACIE 2017)
Series
Advances in Engineering Research
Publication Date
August 2017
ISBN
10.2991/icacie-17.2017.35
ISSN
2352-5401
DOI
10.2991/icacie-17.2017.35How to use a DOI?
Copyright
© 2017, 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  - Qingyu Zou
AU  - Tao Wang
AU  - Yun Qian
PY  - 2017/08
DA  - 2017/08
TI  - Key Point Recognition Method of Bacterial Image in Water Based on Complex Network
BT  - Proceedings of the 2017 2nd International Conference on Automatic Control and Information Engineering (ICACIE 2017)
PB  - Atlantis Press
SP  - 150
EP  - 153
SN  - 2352-5401
UR  - https://doi.org/10.2991/icacie-17.2017.35
DO  - 10.2991/icacie-17.2017.35
ID  - Zou2017/08
ER  -