参数估计时用极大似然可以在处理二维图像时，如果服从高斯分布或者Rayleigh分布时进行参数估计方法，是经常用到的一种估计方法-Maximum Likihood estimated mathod.if the math is Gaussian or Rayleigh ,then you can use this mathod,is useful.

利用极大似然估计进行盲反卷积复原，通过多帧图像约束，效果较好-Use of maximum likelihood estimates for blind deconvolution restoration by the multi-frame image constraint, the better

对图片中的颗粒对象进行统计，统计周长，面积，等效直径等特征，利用数值计算实现极大似然估计估计统计结果的weibull双参数。-Pictures of the objects particle statistics, statistics perimeter, area, equivalent diameter and other characteristics, is estimated using the maximum likelihood estimation of statistical