[1]沈德海,张龙昌,鄂旭.基于统计阈值检测的中值均值滤波算法[J].计算机技术与发展,2013,(05):34-36.
　SHEN De-hai,ZHANG Long-chang,E Xu.A Median and Mean Filter Algorithm Based on Statistical Threshold Detection[J].,2013,(05):34-36.
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基于统计阈值检测的中值均值滤波算法()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年05期
页码:
34-36
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
A Median and Mean Filter Algorithm Based on Statistical Threshold Detection
文章编号:
1673-629X（2013）05-0034-03
作者:
沈德海; 张龙昌; 鄂旭
渤海大学 信息科学与技术学院
Author(s):
SHEN De-hai; ZHANG Long-chang; E Xu
关键词:
椒盐噪声; 中值滤波; 统计阈值; 细节保持
Keywords:
salt and pepper noise; median filtering; statistical threshold; detail preservation
文献标志码:
A
摘要:
提出了一种统计阈值检测的中值均值的滤波算法.算法采用开关策略,利用统计阈值方法对噪声图像3×3窗口内中心像素点进行检测,如是噪声点,统计出该窗口内非噪声点的个数N,如果N为奇数,则用这些非噪声点的中值替换中心点像素值,如果N为偶数,则用窗口内非噪声点的均值替换中心点像素值.对于非噪声点的中心点保持原值不变,从而实现了细节保持和去噪.实验结果表明,算法在有效地抑制噪声的同时也很好地保持了图像细节,甚至在噪声密度高达90%的情况下,依然显示出了较强的滤波性能
Abstract:
An efficient filter algorithm based on statistical threshold detection and odd median and even mean is proposed. The algorithm uses switching strategy,detects the center point of the noise image in window of 3×3 according to the statistical threshold. For the noise point,count the number N of non-noise points,if N is odd,the center point pixel value will be replaced by the median value of the non-noise points in the detection window,if N is even,the center point pixel value will be replaced by the mean value of the non-noise points in the detection window. The pixel value will be retained for the non-noise points,so achieve noise removal and detail preservation. Ex-perimental results indicate the algorithm can restrain salt and pepper noise with detail-preserving,even for the 90% high noise level im-age,the algorithm also shows strong filter ability

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更新日期/Last Update: 1900-01-01