1) weighted median
加权中值
1.
Specially,(1) a novel approach of weighting the neighbors’ measurements is presented,(2) a method to characterize the difference between sensor measurements is introduced,(3) a weighted median fault detection sche.
主要做了以下3项工作:(1)提出了一种新颖的对邻居节点测量数据进行加权的方法;(2)提出了一种衡量测量数据之间差距的方法;(3)提出了基于加权中值的故障诊断策略WMFDS(weighted median fault detection scheme),它同时适用于二进制决策和实数测量值。
2) 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
3) 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。
4) 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。
5) center weighted median filter
中心加权中值滤波
6) CWMF
中心加权中值滤波器
1.
The experimental results show that the proposed solution significantly out performs the standard median filter(SMF)and the central weighted median filter(CWMF).
实验结果表明,新的滤波算法优于传统的中值滤波器及常规的中心加权中值滤波器。
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