doi: 10.7763/IJCTE.2015.V7.956
The Flocs Target Detection Algorithm Based on the Three Frame Difference and Enhanced Method of the Otsu
Xin Xie1
,
Huiping Li1 ,
Fengping Hu2
- 1East China Jiaotong University of information Engineering College, Nanchang, China.
- 2School of Civil Engineering, ECJT University, Nanchang, Jiangxi, China.
Abstract
At present, the commonly used floc tracking algorithms are susceptible to noise, light, and floc movement speed, etc., it is difficult to extract complete moving flocs, therefore put forward a flocs target detection algorithm based on the three frame difference and particle swarm optimization & enhanced method of the Otsu. The algorithm firstly conducts difference of three consecutive frames, then use particle swarm optimization & enhanced method of the Otsu to obtain the best threshold, the optimal threshold is adopted to the image binarization and then do image post-processing, eventually obtaining a clear floc target, to lay a foundation for subsequent automation analysis of floc. Experiments show that the algorithm has the characteristics of fast, accurate, and can extract flocs target effectively.
Keywords
- Three frame difference
- particle swarm optimization & enhanced method of the Otsu
- optimal threshold
- flocs target detection
How to Cite
Xin Xie, Huiping Li, and Fengping Hu, "The Flocs Target Detection Algorithm Based on the Three Frame Difference and Enhanced Method of the Otsu," International Journal of Computer Theory and Engineering, vol. 7, no. 3, pp. 197-200, 2015. https://doi.org/10.7763/IJCTE.2015.V7.956
Copyright & License
Copyright © 2015 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).