Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Infrared Small Target Detection Using Modified Order Morphology and Weighted Local Entropy

Authors
Xiaocui Zhang, Jiannan Chi, Jingyao Hu, Linna Liu, Yongyue Xing
Corresponding Author
Xiaocui Zhang
Available Online July 2016.
DOI
https://doi.org/10.2991/iccia-17.2017.61How to use a DOI?
Keywords
Complex sky background, infrared image, small target detection, order morphology, local entropy.
Abstract
Infrared images in the sky scence often contain different complexity noises, which affect the validity of target detection algorithm and result in high false alarm rate. In order to solve this problem, this paper proposes a method based on weighted order morphology, which utilizes the improved open operation to do the denoising and then uses the edge structuring element to extract the small target, and defines a weighted order morphology-based top-hat (WOTH) operation to suppress background while enhancing the target, and finally complete the detection of target by using a simple adaptive threshold. The algorithm combines three different structuring elements, and has four adjustable parameters. By controlling the structure elements' size and related parameters, the target and the background can be quickly separated, the use of weighted local entropy operation also enhance the target effectively. The experimental results show that the proposed algorithm can effectively suppress different types of interference and accurately detect infrared small targets, and has a good performance in robustness and fastness.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-17.2017.61How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaocui Zhang
AU  - Jiannan Chi
AU  - Jingyao Hu
AU  - Linna Liu
AU  - Yongyue Xing
PY  - 2016/07
DA  - 2016/07
TI  - Infrared Small Target Detection Using Modified Order Morphology and Weighted Local Entropy
BT  - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.61
DO  - https://doi.org/10.2991/iccia-17.2017.61
ID  - Zhang2016/07
ER  -