LMI

h264实现监控,不是动态的，是通过读取每一帧图像(h264 yuv420 to rgb)

说明：  图像增强算法，包括灰度线性变换、灰度非线性变换、直方图均衡化，掌握基于MATLAB的各个算法的图像增强的实现。(Image enhancement algorithms, including gray linear transformation, gray non-linear transformation, histogram equalization, master the realization of image enhancement based on MATLAB.)

this fuction make a roc curve(roc curve)

图像融合中常用的评价指标（非常全面）如：平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等。(Image fusion evaluation (very comprehensive): average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error and mutual information, signal to noise ratio, peak signal to noise ratio, root mean square error, spacefrequency, standard deviation, mean, distorting the degree of deviation index.)

说明：  很好地实现了激光雷达点云的ICP配准，附带数据(ICP registration of LIDAR point cloud is well realized)

匹配追踪（正交匹配追踪算法程序）多子波分解与重构(Matching Pursuit (Orthogonal Matching Pursuit algorithm program) multi-wavelet decomposition and reconstruction)

对两帧图像进行ICM调试.包含内容：1估计姿态和摄像机内参数；2两幅图做四次金字塔；3利用输入特征点采用ransac算法估计姿态R, T。4sift特征匹配；5摄像机标定。(ICM images on two debugging. Contains: 1 Estimated posture and intrinsic parameters 2 two plans to do four pyramids 3 using the input feature points using ransac algorithm estimates gesture R, T. 4sift feature matching 5 camera calibration.)

本源码是基于Markov chain Monte Carlo (MCMC)的Bayesian inference工具包,其中包括MCMC采样，基于MCMC的高斯分类，同时描述了采样的一些方法。其中还有使用文档(toolbox is a collection of Matlab functions for Bayesian inference with Markov chain Monte Carlo (MCMC) methods)

C# 给图片添加水印 图片类型转换 例子

基于宽带子波的信号匹配追踪算法，该算法与常规算法的区别是原子库形状更加丰富。(Broadband wavelet-based signal matching tracking algorithm, the algorithm with the conventional algorithm richer difference is the shape of the atom library.)