中文说明：应用背景local_normalize局部归一化算法，uniformizes图像的局部均值和方差。LN = local_normalize（IM，Sigma1 sigma2）输出局部归一化图像的影响使用局部均值和标准差估计分别为sigma1和sigma2高斯核。关键技术描述本演示说明了一个本地标准化算法的效果uniformizes图像的局部均值和方差。尤其是正确的非均匀照明或阴影文物有用。使用平滑算子的局部正规化的地方标准化（×），计算如下：在哪儿（×）是原始图像MF（x，y）是f的局部均值的估计（x，y）科幻（X）是一个估计的地方标准偏差（×）是输出图像通过空间平滑的估计的局部均值和标准差进行。
English Description：
Application background LOCAL_NORMALIZE A local normalization algorithm that uniformizes the local mean and variance of an image. ln=local_normalize(IM,sigma1,sigma2) outputs local normalization effect of image IM using local mean and standard deviation estimated by Gaussian kernel with sigma1 and sigma2 respectively. Key TechnologyDescription This demo illustrates the effect of a local normalization algorithm that uniformizes the local mean and variance of an image. This is especially useful for correct non-uniform illumination or shading artifacts. Local normalization using smoothing operators The local normalization of f(x,y) is computed as follows: where: f(x,y) is the