FSIM

关于EM算法的详细介绍，可以帮助初学者深入理解EM的来源及使用方法。(A detailed description on the EM algorithm that can help beginners in-depth understanding of the source and use of EM methods.)

说明：  基于MATLAB，对逐日的sst遥感数据做月平均并制作gif动图(Based on MATLAB, the daily SST remote sensing data are averaged monthly and the GIF map is made)

用Matlab写的Bayer插值与白平衡算法，包含双线性和边缘检测两种插值算法以及White Patch自动白平衡算法(Bayer Interpolation and white balance algorithm implemented with matlab.)

一个很好类子来说明类模板的使用，可以比较明了类模板的使用方法，最好进行单步调试(use of class template )

阴影去除，用于视频监控中的运动目标检测后提取运动目标(Shadow Removal for moving object detection in video surveillance Moving Target Extraction)

下载别人的基于 AdaBoost 人脸检测源代码 供大家一起学习(Download others AdaBoost-based face detection source code for everyone to learn)

用CPHD的方法实现多目标跟踪，及对CPHD性能的检测。(With CPHD method to achieve multi-target tracking, and performance testing for CPHD.)

双目匹配计算视差，生成深度图。（前提是用自己标定好的摄像头拍的图片，导入内外参数然后进行立体匹配）(Binocular matching calculates parallax and generates depth map.(The premise is to take a picture with your own calibrated camera, import internal and external parameters, and then stereo matching))

各向异性扩散相干斑降噪，可以在增强边缘的同时滤出噪声，效果很好！(Anisotropic diffusion, coherent noise can enhance the edge of the filter out the noise at the same time, the effect is very good!)

基于Curvelet变换的样本块图像修复算法提高现有样本块修复算法性能。首先利用Curvelet 变换估计待修复图像的4方向特征．然后利用颜色信息与方向信息共同衡量样本块间的相似度，在此基础上构造颜色-方向结构稀疏度函数．(Based on the sample block transform image restoration algorithm Curvelet enhance existing sample block repair algorithm performance. Firstly Curvelet transform estimated to be repaired 4 directional characteristics of the image. Then use the color information and direction information together measure the similarity between the sample block, constructed on the basis of color- direction sparsity structure function.)