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Proceedings Paper

A fuzzy C-mean cluster based shaking elimination method for video of forest fire prevention
Author(s): Feng Zhao; Xiaojie Fang; Xuejun Sha; Pengfei Sun
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Paper Abstract

Due to the shake of the monitor camera, the positioning accuracy for the forest fire will be degraded. In this paper, we propose a fuzzy C-mean cluster based image processing method to eliminate the counteractive effect caused by camera shaking. The simulation result proves that the positioning error of our algorithm is significantly reduced, compared to the average algorithm. We also provide the overall system hardware platform design and its verified result in this paper.

Paper Details

Date Published: 3 December 2015
PDF: 5 pages
Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97941L (3 December 2015); doi: 10.1117/12.2203190
Show Author Affiliations
Feng Zhao, Harbin Institute of Technology (China)
Xiaojie Fang, Harbin Institute of Technology (China)
Xuejun Sha, Harbin Institute of Technology (China)
Pengfei Sun, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 9794:
Sixth International Conference on Electronics and Information Engineering
Qiang Zhang, Editor(s)

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