1) local variance
局部方差
1.
Algorithm based on local variance to enhance contrast of fog-degraded image;
一种基于局部方差的雾天图像增强方法
2.
Multi-resolution image segmentation method based on local variance;
基于局部方差的多分辨率图像分割方法
3.
Fuzzy wavelet thresholding based on local variance for image denoising;
基于局部方差的模糊小波阈值图像去噪
2) local deviation
局部方差
1.
In order to adequately use all kinds of remote sensing image information, some important image fusion techniques, analysis features and disadvantages of these methods are summarized, a novel hierarchical fusion technique for remote sensing image is presented based on local deviation of the direction gradient.
为了充分利用各种遥感图像的信息 ,本文对以往图像融合技术进行了简要的概述 ,分析了各种方法的优缺点 ,给出了一种新的基于方向梯度局部方差的金字塔图像融合方法。
3) local variance estimation
局部方差估计
1.
The improved algorithm was proposed for reducing the ultrasonic image speckle noise and ameliorating image quality,in which the double density dual tree discrete wavelet transform(DD-DT DWT) was combined with the bivariate shrinkage function(BSF) with local variance estimation.
针对去除斑点噪声提高超声图像质量的问题,提出双密度双树离散小波变换(DD-DT DWT)结合局部方差估计的双变量收缩阈值函数(BFS)的图像降噪改进算法实现超声图像降噪。
4) local residual sum of squares
局部残差平方和
1.
According to the demand in practice, the method of determining the order in an AR(p) model is extended, and the method of determining the order based on local residual sum of squares is introduced.
基于实践应用的需要,通过对自回归模型中的残差方差图定阶方法进行研究,提出了局部残差平方和的定阶方法。
5) modified local variance
改进局部方差
1.
New image fusion method based-on modified local variance processing of wavelet coefficient;
基于改进局部方差的小波图像融合方法
6) local fuzzy variance
局部模糊方差
1.
To obtain a favorable segmented result of an image, a transition region method, based on the difference of local fuzzy variance between transition region and background, was proposed and used for image segmentation.
为取得良好的图像分割效果,利用局部模糊方差区分过渡区与背景区的差异,提出了一种基于局部模糊方差的图像过渡区提取方法并用于图像的分割。
补充资料：并合方差
分子式：
CAS号：
性质：是按加权方式计算出的各组的共同方差，当试验分m组进行，总的测定方差s2由m组的方差si2(i=1,2, …,m)共同决定。总方差，式中ni、fi和xi；分别为第i组的测定次数、自由度和平均值，xij是第i组的第j次测定值。
CAS号：
性质：是按加权方式计算出的各组的共同方差，当试验分m组进行，总的测定方差s2由m组的方差si2(i=1,2, …,m)共同决定。总方差，式中ni、fi和xi；分别为第i组的测定次数、自由度和平均值，xij是第i组的第j次测定值。
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