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| 基于粒子群算法的模糊滤波器优化方法 | |
| 引用本文： | 石振刚,高立群,王晓燕,刘洋.基于粒子群算法的模糊滤波器优化方法[J].沈阳理工大学学报,2007,26(1):1-4. |
| 作者姓名： | 石振刚 高立群 王晓燕 刘洋 |
| 作者单位： | 1. 东北大学,信息科学与工程学院,辽宁,沈阳,110004;沈阳理工大学,信息科学与工程学院,辽宁,沈阳,110168 2. 东北大学,信息科学与工程学院,辽宁,沈阳,110004 3. 沈阳理工大学,信息科学与工程学院,辽宁,沈阳,110168 |
| 摘 要： | 根据粒子群算法可以搜索全局最优的特点,提出一种新的基于粒子群算法优化模糊隶属函数,从而对带有脉冲噪声图像进行模糊中值滤波的方法.该方法给出一个新的模糊熵定义,采用改进粒子群优化算法寻求隶属函数的最优参数,依照最大熵准则将图像变换到模糊域,然后对需要处理的噪声图像进行滤波.实验表明,提出的方法可以很好地滤除图像中的脉冲噪声,自适应性强. |
| 关 键 词： | 模糊熵 隶属函数 粒子群优化算法 中值滤波 |
| 文章编号： | 1003-1251(2007)01-0001-04 |
| 修稿时间： | 2006-07-11 |
A Method of Median Filter Based on Fuzzy Theory by PSO Algorithm Optimized |
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| SHI Zhen-gang, GAO Li-qun , WANG Xiao-yan.A Method of Median Filter Based on Fuzzy Theory by PSO Algorithm Optimized[J].Transactions of Shenyang Ligong University,2007,26(1):1-4. | |
| Authors: | SHI Zhen-gang GAO Li-qun WANG Xiao-yan |
| Affiliation: | 1. College of Information Science and Engineering , Northeastern University, Shenyang 110004, China; 2. Shenyang Ligong University |
| Abstract: | In this paper,a new method of membership function based on fuzzy theory of particle swarm optimization(PSO) algorithm is proposed since particle swarm optimization(PSO) algorithm is an efficient tool for search optimization.A new entropy definition of a fuzzy set is proposed,by using a new particle swarm optimization(PSO) algorithm to find the optimization parameters for membership.Then using this membership function,fuzzy median filter can filter the pulse noise.Using our new algorithm to filter the pulse noise,we can get a better result. |
| Keywords: | fuzzy entropy membership function particle swarm optimization(PSO) median filter |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
