基于二抽取的多结构元素并行复合形态滤波器  

A Parallel-Composed Morphological Filter with Multiple Structure Elements Based on Binary Sampling

作　　者：郭兵[1,2] 阳春华[1] 胡志坤[1] 

机构地区：[1]中南大学信息科学与工程学院,中国长沙410083 [2]株洲南车时代电气股份有限公司新产业事业部,中国株洲412001

出　　处：《湖南师范大学自然科学学报》2009年第4期51-55,101,共6页Journal of Natural Science of Hunan Normal University

基　　金：中国博士后科学基金资助项目(20060400885);深圳市科技计划基础研究资助项目(JC200903180555A)

摘　　要：提出了一种基于二抽取的多结构元素并行组合滤波器.该滤波器采用多结构元素构成基于复合数学形态学的低通滤波器.在不增大结构元素宽度的情况下,通过二抽取方法降低信号的采样率来提高其低通能力,根据一次滤波效果调整信号的采样率进行二次滤波,并采用插值重构的方法恢复到原始信号的采样频率.这种结构的数学形态学滤波器能有效的滤除掉多种类型和不同频带范围内的噪声.仿真结果表明了这种滤波器的有效性.A parallel-composed morphological filter with multiple structure elements based on binary sampling is presented. This filter is changed into a low-pass filter based on composed mathematical morphology with multiple structure elements. Under the condition that the width of structure elements isn＇t increased, the filter can reduce the sampling rate by binary sampling to improve its low-pass ability, then it filters for the second time according to the sampling rate of the first filter, and renews the sampling frequency of original signal through the method of inserting restructure. The mathematical morphology filter with this structure can eliminate different noise with various styles and frequencies. And the validity of this filter is proved by the simulation results.

关 键 词：滤波器 数学形态学 电能质量 

分 类 号：O411.4[理学—理论物理]