[1]郑玉燕,何建农.软形态学的多结构加权均值形态滤波算法[J].华侨大学学报(自然科学版),2008,29(4):535-538.[doi:10.11830/ISSN.1000-5013.2008.04.0535]
　ZHENG Yu-yan,HE Jian-nong.Omnidirectional Weighted Combination Morphological Filter Based on Soft Morphology[J].Journal of Huaqiao University(Natural Science),2008,29(4):535-538.[doi:10.11830/ISSN.1000-5013.2008.04.0535]
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软形态学的多结构加权均值形态滤波算法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第29卷
期数:
2008年第4期
页码:
535-538
栏目:
出版日期:
2008-10-20

文章信息/Info

Title:
Omnidirectional Weighted Combination Morphological Filter Based on Soft Morphology
文章编号:
1000-5013(2008)04-0535-04
作者:
郑玉燕; 何建农
福州大学数学与计算机科学学院
Author(s):
ZHENG Yu-yan;  HE Jian-nong
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
关键词:
图像处理;  形态滤波器;  数学形态学;  相干斑
Keywords:
image processing;  morphologic filtering;  mathematical morphology;  speckle noise
分类号:
TP391.41
DOI:
10.11830/ISSN.1000-5013.2008.04.0535
文献标志码:
A
摘要:
在广义多方向加权均值形态滤波的基础上,用软形态学开闭运算代替标准的形态学开闭运算,并设计结构元素和k值,对真实的合成孔径雷达图像进行斑点滤波.提出一种基于软形态学的多结构加权均值形态滤波算法,采用软形态的开-闭和闭-开运算代替标准的形态开-闭运算.通过实例将提出的新滤波算法与Lee滤波、广义多方向加权均值形态滤波和多方向加权均值形态滤波进行抑制相干斑的效果比较结果表明,该算法不仅可以有效地抑制图像中的噪声,而且较好地保持图像的几何结构特征.
Abstract:
In base of generalized omnidirectional adaptive weighted combination morphological filter,the standard morphological opening and closing is replaced with soft morphological opening and closing in this paper.And with new structure elements and k,a new method is used in speckle noise reduction.A omnidirectional weighted combination morphological filter based on soft morphology is proposed in the paper.Morphological opening and closing in omnidirectional adaptive weighted combination morphological filter is substituted by soft morphological opening and closing.Then,we compare this new filtering algorithm with generalized omnidirectional adaptive weighted combination morphological filter,omnidirectional adaptive weighted combination morphological filter and lee filter by means of experiment.It is shown that the new method is more effective at noise reduction and detail preservation by experimental results.

参考文献/References:

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备注/Memo

备注/Memo:
福建省自然科学基金资助项目(Z0515003)
更新日期/Last Update: 2014-03-23