A Bullet holes detection algorithm based on wavelet transform and image fusion

DOI

10.2991/itoec-16.2016.34How to use a DOI?

Keywords

object detection; wavelet transform; image fusion; image denoising; fusion rule

Abstract

A bullet holes object detection based on wavelet transform using fusion rules is proposed to overcome the limitation of the bullet holes detection using image difference technology that exists over-detection or leak-detection because of the noise interference and has harsh request for imaging condition. In the wavelet domain, it applied different fusion rules to the low-frequency and the high-frequency sub-image to revise the wavelet transform coefficients in order to increase the object coefficients while decrease or reset the non-object coefficients. Then, it used the maximum points to the low-frequency coefficient and reduced the noise of high-frequency coefficients, the final bullet holes images were obtained through wavelet composition. Experimental results show the proposed method can detect bullet holes object not only remove the noise effect but also enhance the edge, which improves the veracity and precision of the bullet holes detection.

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  - Luo Jie
AU  - Zhang Zhiming
AU  - Zeng Guangdong
PY  - 2016/05
DA  - 2016/05
TI  - A Bullet holes detection algorithm based on wavelet transform and image fusion
BT  - Proceedings of the 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016)
PB  - Atlantis Press
SP  - 189
EP  - 193
SN  - 2352-5401
UR  - https://doi.org/10.2991/itoec-16.2016.34
DO  - 10.2991/itoec-16.2016.34
ID  - Jie2016/05
ER  -