文档介绍：第卷第期
45 2 吉林大学学报(工学版)
年月
2015 3 Journal of Jilin University(Engineering and Technology Edition)
基于阿尔法均值算法和马氏距离的图像自适应滤波
刘光宇,庞永杰
哈尔滨工程大学船舶与海洋工程学院哈尔滨
( , 150001)
摘要针对数字图像容易感染噪声的问题提出一种基于阿尔法均值滤波算法和马氏距离的
: ,
图像自适应滤波算法。该算法充分结合了阿尔法均值滤波器的优点和马氏距离的特性,首先
利用阿尔法均值滤波器确定参考序列,然后计算参考序列与滤波窗口内比较序列之间的马氏
距离,并根据距离的大小确定滤波窗口内各像素点的权系数,最后将加权结果作为滤波输出。
实验结果表明:该算法对受到高斯噪声、椒盐噪声以及混合噪声感染的图像具有较好的滤波效
果,同时可以较好地保持原始图像的细节信息。
关键词:信息处理技术;图像滤波;阿尔法均值滤波;马氏距离
中图分类号文献标志码文章编号
: :A :1671-5497(2015)02-0670-05
DOI:
Filter of the optical image based on alpha-trimmed mean
filter and Mahalanobis distance
LIU Guang-yu,PANG Yong-jie
(College of Underwater Acoustics Engineering,Harbin Engineering University,Harbin150001,China)
Abstract:It is easy for digital image to contain e this problem,an adaptive filter
algorithm based on Alpha-trimmed mean filter and Mahalanobis distance is algorithm
combines the advantages of the Alpha-trimmed mean filter and the feature of the Mahalanobis
,the reference sequence is obtained by the Alpha-trimmed mean ,the
Mahalanobis distance between the reference sequence and paring sequence is calculated,which
is used to determine the weight coefficient of the pixels in the filter ,the weighted
result is taken as the filter experi