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PSO based gabor wavelet feature extraction method (EI CONFERENCE) 会议论文
2004 International Conference on Information Acquisition, ICIA 2004, June 21, 2004 - June 25, 2004, Hefei, China
Sun H.; Pan Y.; Zhang Y.
收藏  |  浏览/下载:13/0  |  提交时间:2013/03/25
In this paper  the time of feature extraction is faster. By test in low contrast image  2D continues Gabor wavelets are adopted to realize feature extraction. By optimize Gabor wavelet's parameters of translation  the feasibility and effectiveness of the algorithm are demonstrated by VC++ simulation platform in experiments. 2004 IEEE.  orientation  and scale to make it approximates a local image contour region. The method of Sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. In the wavelet characteristic space  we adopt PSO (particle swarm optimization) Algorithm to identify points on the security border of the system. Comparing to the LM algorithm  it can ensure reliable convergence the target  which can improve convergent speed  
Simulation and experimental study of high power fiber lasers 会议论文
2004
Pan Y. Z.; Zhang J.; Hu G. J.; Zhang L.; Zhao L.; Ning Y. Q.; Liu Y.; Wang L. J.
收藏  |  浏览/下载:5/0  |  提交时间:2013/03/28


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