一种全方位多角度自适应形态滤波器及其算法

TP391.4; 根据形态滤波器的结构元特性,结合形态开-闭(闭-开)组合运算及自适应算法,建立了一种能有效去除复杂纹理图像中的各种噪声,并较好的保持图像细节的方法.实验证明,这种全方位多角度自适应形态滤波器与现有的中值滤波器、全方位结构元形态闭-开最小、开-闭最大滤波器等非线性滤波器相比较有更好的降噪性能及细节保护能力,扩展了形态滤波器在滤除高斯噪声方面的应用,提高了形态滤波器的适应性....

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Published inTongxin Xuebao Vol. 25; no. 9; pp. 86 - 92
Main Authors 马义德, 杨淼, 李廉
Format Journal Article
LanguageChinese
Published 兰州大学,信息科学与工程学院,甘肃,兰州730000 2004
Editorial Department of Journal on Communications
Subjects
自适应算法
结构元
形态滤波器
数学形态学
Online AccessGet full text
ISSN1000-436X
DOI10.3321/j.issn:1000-436X.2004.09.013

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Abstract TP391.4; 根据形态滤波器的结构元特性,结合形态开-闭(闭-开)组合运算及自适应算法,建立了一种能有效去除复杂纹理图像中的各种噪声,并较好的保持图像细节的方法.实验证明,这种全方位多角度自适应形态滤波器与现有的中值滤波器、全方位结构元形态闭-开最小、开-闭最大滤波器等非线性滤波器相比较有更好的降噪性能及细节保护能力,扩展了形态滤波器在滤除高斯噪声方面的应用,提高了形态滤波器的适应性.
AbstractList TP391.4; 根据形态滤波器的结构元特性,结合形态开-闭(闭-开)组合运算及自适应算法,建立了一种能有效去除复杂纹理图像中的各种噪声,并较好的保持图像细节的方法.实验证明,这种全方位多角度自适应形态滤波器与现有的中值滤波器、全方位结构元形态闭-开最小、开-闭最大滤波器等非线性滤波器相比较有更好的降噪性能及细节保护能力,扩展了形态滤波器在滤除高斯噪声方面的应用,提高了形态滤波器的适应性.
Author 杨淼
马义德
李廉
AuthorAffiliation 兰州大学,信息科学与工程学院,甘肃,兰州730000
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形态滤波器
数学形态学
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