首页 | 本学科首页   官方微博 | 高级检索  
     

图像加窗中值滤波算法研究
引用本文:郑玉丽,陈卫兵. 图像加窗中值滤波算法研究[J]. 微计算机应用, 2011, 32(9): 9-14
作者姓名:郑玉丽  陈卫兵
作者单位:1. 洛阳理工学院 电气工程与自动化系 河南471003
2. 南通职业大学 电子工程系 江苏226007
摘    要:提出了一种实用的图像滤波算法,即图像加窗中值滤波算法。在分析经典中值滤波算法基础上,给出了加窗中值滤波算法的基本原理与实现过程,与经典的邻域均值滤波器、中值滤波器、Butterworth低通滤波器、Wiener滤波器进行了滤波比较实验,分别从主观效果及客观参数计算两个方面验证了其优良的滤波性能。

关 键 词:图像处理  中值滤波  邻域均值滤波  加窗中值滤波

Study on Image Windows Median Filter Algorithm
ZHENG Yuli,CHEN Weibing. Study on Image Windows Median Filter Algorithm[J]. Microcomputer Applications, 2011, 32(9): 9-14
Authors:ZHENG Yuli  CHEN Weibing
Affiliation:ZHENG Yuli,CHEN Weibing(Luoyang Institute of Science and Technology,Department of Electronic Engineering and Automation,Henan,471003,China,Department of Electronic Engineering,Nantong Vocational College,Nantong 226007,China)
Abstract:A practical image filter algorithm named Windows Median Filter(WMF) is proposed.Based on the analysis of classical median filter algorithm,the principle and implement step of the WMF is given.Comparison experiments between WMF and neighborhood averaging filter,median filter,Butterworth low-pass filter,Wiener filter are made.The experimental results indicate its excellent filtering performance from subjective impression and objective parameters.
Keywords:Image processing  Median filter  Neighborhood averaging filter  Windows median filter  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号