Study on a Supervisory System for Military Hardware Operation in Low Light Conditions

DOI

10.2991/icence-16.2016.39How to use a DOI?

Keywords

low light conditions, hardware operation, image de-noising, image enhancement

Abstract

Aimed at the issue of the operation training on military hardware, designed a set of supervisory system for military hardware operation in low light conditions. Put forward an image de-noising algorithm which united mathematics morphology and modified average filtering method, put forward an image enhancement algorithm which united histogram equalization method and modified local contrast enhancement method, used wireless communication technology to realize remote real-time monitoring. By experiment, the two algorithms can solve the problem of low illumination image's poor quality, the system can realize the real-time communication between the command and control center and the fighting vehicles, the real-time monitoring of the image inside the vehicles, and other functions, meaningfully to complete the operation training on military hardware in low light conditions, and provided the theoretical basis and technical reference for other training monitoring systems.

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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TY  - CONF
AU  - Jun Yang
AU  - Shicong Lin
PY  - 2016/09
DA  - 2016/09
TI  - Study on a Supervisory System for Military Hardware Operation in Low Light Conditions
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 183
EP  - 186
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.39
DO  - 10.2991/icence-16.2016.39
ID  - Yang2016/09
ER  -