Research on Image Processing Technique for Small Targets in Large Field of View Based on Linear CCD

DOI

10.2991/icmmita-16.2016.105How to use a DOI?

Keywords

Large field of view; small target detection; image enhancement; median filtering; Gabor.

Abstract

Aiming at the problem of difficulty in detection of small targets in large field of view, an image processing algorithm is proposed to detect small targets in large field of view. The algorithm first performs image preprocessing using grayscale transformation and median filtering, then Gabor matched filtering and threshold segmentation are used to obtain binary image. For getting the position of the small target in target image, the centroid algorithm is presented. Finally, the algorithm is validated by practical experiments. The results show that the algorithm can effectively detect small targets.

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  - Liqun Zhang
AU  - Ping Song
AU  - Chuangbo Hao
PY  - 2017/01
DA  - 2017/01
TI  - Research on Image Processing Technique for Small Targets in Large Field of View Based on Linear CCD
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 566
EP  - 569
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.105
DO  - 10.2991/icmmita-16.2016.105
ID  - Zhang2017/01
ER  -