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1)  window median filtering
加窗中值滤波
2)  moving window median filtering
动窗中值滤波
1.
Four data smoothing methods(moving window averaging,moving window weighted averaging,moving window median filtering and moving window robust averaging) are described in this paper.
文章介绍了4种数据平滑方法:动窗平均、动窗加权平均、动窗中值滤波以及动窗稳健平均。
3)  Windowed filtering
加窗滤波
4)  weighted median filter
加权中值滤波器
1.
Optimum design of weighted median filters based on genetic algorithms;
遗传算法加权中值滤波器的优化设计
5)  weighted median filter
加权中值滤波
1.
Effective adaptive weighted median filter algorithm
一种有效的自适应加权中值滤波算法
2.
The main characters of this dissertation are as follows:(1)Traditional weighted median filter model is formed based on single dimension signal processing.
本文的主要工作如下:(1)传统加权中值滤波模型是在一维信号处理的基础上形成的,模板下各个像素点都保持唯一的权值系数。
3.
An algorithm called adaptive weighted median filter algorithm based on similarity function is proposed by the writer of this article.
提出了一种基于相似度函数的自适应加权中值滤波算法。
6)  weighted median filtering
加权中值滤波
1.
The ideas of the directional filtering and the weighted median filtering are combined with each other to construct the ADWM filter model, which is a highly nonlinear image smoothing and enhancement technique.
ADWM滤波是结合定向滤波与加权中值滤波的思想而构造的滤波模型,是一种高度非线性的图像平滑和增强技术。
补充资料:无动于中
1.指意念专一,不因外界影响而动心。后亦指内心毫无触动,对事情毫不在意。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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