Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

TV Guided Missile Target Image Processing Improvement

Authors
Jingfeng He, Ming Ji, Ruliang Xiao
Corresponding Author
Jingfeng He
Available Online April 2016.
DOI
10.2991/ameii-16.2016.274How to use a DOI?
Keywords
Image segmentation, TV guided missile, Ostu, Genetic algorithm
Abstract

In using the TV-guided missiles to attack targets process, the target image segmentation process directly affects the attack effect. So, choose a suitable image segmentation methods to ensure high quality target image processing speed, real-time, is particularly important. This paper introduces a method which combines the advantages of the genetic algorithm with the advantages of the fast optimization principle and the method of Ostu, to improve the method of Ostu, and Simulation on the simulation platform. The simulation results show that the improved algorithm is efficient and effective. Simulation results show that the improved Ostu good treatment effect and the calculation speed of the algorithm is effective.

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 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-188-9
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.274How 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  - Jingfeng He
AU  - Ming Ji
AU  - Ruliang Xiao
PY  - 2016/04
DA  - 2016/04
TI  - TV Guided Missile Target Image Processing Improvement
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.274
DO  - 10.2991/ameii-16.2016.274
ID  - He2016/04
ER  -