1) weighted extended vector median filter
权值扩展向量中值滤波
2) extended median-mean filter
扩展中-均值滤波
1.
Based on the features of glint and clutter sea-sky blending background as well as point target with one pixel,a fast location algorithm for sea-sky blending area and an extended median-mean filter for all direction ring-neighborhood difference data based on pattern classification were designed as pre-processing methods.
针对海天混杂闪烁背景及单像素运动点目标的特征,设计了海天相连区域快速定位及基于模式分类的环域全向差分扩展中-均值滤波的预处理算法,二次进行全向差分均值滤波后,利用基于直方图的自适应阈值分割得到初步侯选目标点。
3) Vector median filter
向量中值滤波
1.
Based on the rank of the sum of 1-norm distances or 2-norm distances from one pixel to the other pixels in the filtering window and combining with an average filter, a vector median filter for color images was developed.
基于向量的1-范教和2-范数距离和排序,结合均值滤波算法,建立了一种适用于彩色图像的向量中值滤波算法,对脉冲噪声和高斯噪声具有很强的去噪性能。
4) weight vector median filter
加权矢量中值滤波
1.
To realise automatic processing,images were processed orderly via color space transform,splitting and merging,region color unification,mathematical morphology and weight vector median filter in this design.
文中利用图像分割中的彩色空间转换、分裂合并、区域色彩统一、数学形态学和加权矢量中值滤波平滑算法实现对普通图片的自动处理。
5) 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
6) 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。
补充资料:中值滤波
分子式:
CAS号:
性质:数字滤波常用的一种。方法是在某时刻对信号进行多次连续采样m次(m≥3),按大小顺序排列,首尾各去掉1/3个大数和1/3个小数,再将剩余的1/3个大小居中的数据进行算术平均,作为该时刻的信号值。中值滤波对脉冲干扰信号有良好的抑制效果。
CAS号:
性质:数字滤波常用的一种。方法是在某时刻对信号进行多次连续采样m次(m≥3),按大小顺序排列,首尾各去掉1/3个大数和1/3个小数,再将剩余的1/3个大小居中的数据进行算术平均,作为该时刻的信号值。中值滤波对脉冲干扰信号有良好的抑制效果。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条