A fuzzy C-mean cluster based shaking elimination method for video of forest fire prevention

Feng Zhao; Xiaojie Fang; Xuejun Sha; Pengfei Sun

doi:10.1117/12.2203190

3 December 2015 A fuzzy C-mean cluster based shaking elimination method for video of forest fire prevention

Feng Zhao, Xiaojie Fang, Xuejun Sha, Pengfei Sun

Proceedings Volume 9794, Sixth International Conference on Electronics and Information Engineering; 97941L (2015) https://doi.org/10.1117/12.2203190
Event: Sixth International Conference on Electronics and Information Engineering, 2015, Dalian, China

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.

Citation Download Citation

Feng Zhao, Xiaojie Fang, Xuejun Sha, and Pengfei Sun "A fuzzy C-mean cluster based shaking elimination method for video of forest fire prevention", Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97941L (3 December 2015); https://doi.org/10.1117/12.2203190

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