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Proceedings Paper

Laser underwater image target detection based on Gabor filter
Author(s): Shu-bin Yang; Yun-han Wang; Yi Tian
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Paper Abstract

Laser underwater target image acquired by using synchronization-scanning imaging technology is always disturbed by strong laser beam. Correlation analysis algorithm based on texture-driven cannot detect target in these images at first hand. In these laser images energy of mighty laser beam is converged in a certain direction, on the contrary distribution of weak target energy is symmetrical in all directions. Some certain multi-scale and multi-channel Gabor filters can boost up some certain direction energy and at the same time decrease other certain direction energy. Therefore, the mighty laser beam with single certain direction in the image is restrained by appropriate Gabor filters. In order to gain the better result, firstly small size Gabor filters with four directions are used to process the laser target image, then scale size of Gabor filter is increased step by step until result image processed by Gabor filters is approving. After that texture-driven correlation analysis algorithm is processed on the image filtered by Gabor filters with appropriate size and direction and then weak target is detected. Experiments prove that the proposed algorithm based on Gabor filter can efficiently eliminate interference of mighty laser beam and detect laser underwater image target effectively.

Paper Details

Date Published: 28 August 2009
PDF: 6 pages
Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 73822M (28 August 2009); doi: 10.1117/12.834809
Show Author Affiliations
Shu-bin Yang, Wuhan Institute of Technology (China)
Yun-han Wang, Wuhan Institute of Technology (China)
Yi Tian, Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 7382:
International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging
Farzin Amzajerdian; Chun-qing Gao; Tian-yu Xie, Editor(s)

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