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

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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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  -