神经网络实现人脸识别任务

说明：  使用互信息进行2D图像自动配准源代码,应用平均互信息(The use of mutual information for automatic registration 2D image source code, the application of the average mutual information)

用c#和emgucv实现了1.显示图像的直方图，2.直方图均衡化，3.中值滤波，4.sobel算子，roberts算子和Prewitt算子的边缘提取。各算法均自己实现不是调用函数。但是读图片的信息是用的emgucv。希望和同样刚接触emgucv的同学共同进步(With c# and emgucv achieve a 1 shows a histogram of the image, 2. Histogram equalization, 3 median filter, 4.sobel operator, edge roberts operator and Prewitt operator extraction. Various algorithms to achieve their own instead of calling a function. But reading the image information is used emgucv. The same hopes and common progress of students new to emgucv)

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)

基于蚁群算法的图像边缘检测，亲测可用，包含四种图像。(Ant colony algorithm based image edge detection, pro test available.It contains four kinds of images.)

基于光流算法的图像分割，能对两帧图像检测出其中运动的物体，并对其进行分割(Image segmentation based on optical flow algorithm, two frames to detect moving object, and carries on the segmentation)

对细胞进行分割和追踪的代码，细胞是植物细胞，其中的两篇论文是局部图分割的经典论文，值得一看(To segmentation and tracking code of cells, cells is plant cell, two of the paper is a classic papers of local map segmentation, worth a look)

根据指定字符分割字符串，VC++精选编程源码，很好的参考。(According to the specified character segmentation character string, VC++ select programming source code, a good reference.)

说明：  对于低照度图像，或是模糊不清的雾天，雨天等图像，本算法都能很好的恢复它的清晰度(For the low illumination images, or blurring of the fog, rain and other images, the algorithm can be very good clarity to restore it)

这里包含了曲线波变换用于图像去噪的一片论文以及翻译，这是本人亲自翻译排版的，希望对大家有用(This includes the curvelet transform for image denoising is a piece of paper and translation, this is a personally Translation Publishing, I hope useful for everyone)

视频图像处理，采用背景减除法中混合高斯建模进行视频前景和背景的分离(Video image processing, background subtraction method using Gaussian mixture modeling to separate the foreground and background video)