1) neighbor minimal subtrahend filter
邻域最小差值滤波
1.
For restraining the undulating background and the edge of background,neighbor minimal subtrahend filter is given as a new method which receives better outcome in contrast with typical background forecasting algorithm.
为更好抑制起伏背景和背景结构边缘,文章提出一种新的单帧内背景抑制算法——邻域最小差值滤波,该算法与典型的背景预测算法(中值滤波和高通线性模版滤波)相比具有更好效果;最后针对高斯噪声条件下,利用统计分割方法对抑制背景结果进行阈值分割得到候选目标,从而形成一套针对卫星红外图像的快速有效的单帧目标检测算法。
2) mini-value filtering
最小值滤波
3) neighborhood averaging filter
邻域均值滤波
1.
Comparison experiments between WMF and neighborhood averaging filter,median filter,Butterworth low-pass filter,Wiener filter were made.
给出了其基本原理与实现过程,并与经典的邻域均值滤波器、中值滤波器、Butterworth低通滤波器、Wiener滤波器进行了滤波比较实验,分别从主观效果及客观参数计算两个方面验证了其优良的滤波性能。
4) median filter in wavelet domain
小波域中值滤波
1.
Vibration signal denoising method based on median filter in wavelet domain with self-adaptive level decomposition
自适应分解层数的小波域中值滤波振动信号降噪法
6) least mean square filter(LMS)
最小均方差滤波
补充资料：小差
1.稍有误差;稍有差异。
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