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一类自适应顺序形态滤波器
引用本文:赵春晖,惠俊英,王 伟,孙圣和.一类自适应顺序形态滤波器[J].中国图象图形学报,2000,5(8):674-677.
作者姓名:赵春晖  惠俊英  王 伟  孙圣和
作者单位:[1]哈尔滨工程大学 [2]哈尔滨工业大学
基金项目:国家自然科学基金项目!( 6980 2 0 0 5 )
摘    要:提出了一类自适应顺序形态滤波器,建立了排序运算的隐含表达式,并在最小均方误差(MSE)和最小平均绝对误差(MAE)准则下,实现了结构元素和百分位值的自适应处理,该滤波器不仅可以有效地抑制信号中的各种噪声,而且较好地保持了信号的几何特征,计算机仿真结果证实了滤波算法在噪声图象恢复方面有较好的效果。

关 键 词:自适应滤  顺序形态滤波器  信号处理
收稿时间:9/9/1999 12:00:00 AM
修稿时间:1999-09-09

A Class of Adaptive Ranked-Order Morphological Filters
ZHAO Chun-hui,HUI Jun-ying,WANG Wei and SUN Sheng-he.A Class of Adaptive Ranked-Order Morphological Filters[J].Journal of Image and Graphics,2000,5(8):674-677.
Authors:ZHAO Chun-hui  HUI Jun-ying  WANG Wei and SUN Sheng-he
Affiliation:Harbin Engineering University,Harbin 150001;Harbin Engineering University,Harbin 150001;Harbin Institute of Technology,Harbin 150001;Harbin Institute of Technology,Harbin 150001
Abstract:This paper presents a class of adaptive ranked order morphological filters. The implicit formula of the order operation is expressed. The adaptive processing of structuring element and percentile is implemented based on a minimizing criterion such as the mean square error (MSE) or the mean absolute error (MAE). The filters can not only efficiently suppressed various noise in signals but also preserved the geometrical features of signals. The results of computer simulation show that the new filtering method is quite effective in restoration to noisy images.
Keywords:Order statistics  Mathematical morphology  Adaptive filtering  Ranked  order morphological filters  
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