xinhaoyutuxiangdexishufenjie

KSVD算法的工具包，安装在matlab的相关路径下，可以直接调用。(KSVD algorithm Kit installed in the path of matlab can be called directly.)

matlab工具箱，用于构建和重建可分离的正交可操纵金字塔。(a matlab toolbox for building and reconstructing separable quadrature steerable pyramids.)

多目标质心的求取，matlab代码，适合图像处理初学者(Center of mass to strike multiple targets, matlab code for image processing for beginners)

全局法图像垂直条纹去除程序。可以处理高光谱图像、RGB图像，注释详尽。对于倾斜的条纹噪声图像，需要西安进行旋转，再使用该程序去除。内涵循环低速版和无循环高速版，通过比较（处理高光谱数据），高速版的速度比低速版快上近20倍。(Global image vertical stripes removal procedures. Can process the hyperspectral image, RGB image, detailed notes. The stripe noise images of Xi an, need to rotate, then use the program to remove. Connotation of circular low version and loop free high speed version, by comparing (hyperspectral data processing), high speed rate nearly 20 times than the low-speed model.)

此篇论文是利用稀疏低秩矩阵分解来实验的鲁棒图片的矫正。(This paper is the use of sparse low rank matrix decomposition to experimental robust image correction。 )

基于模板匹配的另一种人脸识别的算法，很实用，利用肤色建模来建立人脸皮肤模型(Another based on template matching algorithm for face recognition, very practical, using skin color modeling to create a human face skin model)

关于运动目标检测基础算法，混光流法合高斯模型、均值法、及帧间差分法(Moving target detection algorithm based on mixed Gaussian model optical flow together, mean method, and the inter-frame difference method)

在matlab环境下，包括图像评价函数算法：Brenner、方差、梯度阈值、熵函数、能量梯度函数。(in Matlab environment, including image evaluation function algorithm : Brenner, variance, gradient threshold, entropy function, energy gradient function.)

程序将界面与数据处理分开，界面采用MFC的对话框模板，对注册、训练、识别和主界面分别建立一个类，通过消息处理函数与用户进行交互，利用多线程来实时显示图像。 数据处理又分为了CFaceAlign（人脸检测+几何归一化）、CLightPrep（光照归一化）、CFaceFeature（Gabor特征提取）、CSubspace（计算Fisherface子空间）四个类，还有一个类 CFaceMngr 负责管理界面与数据之间的交流。这样的程序结构使对界面和算法彼此独立，互不影响。 每个类的具体方法请见相应头文件中的注释。(The program will interface with the data processing separate interface using MFC dialog template, registration, training, recognition and the main interface, respectively, to create a class that interacts with the user through a message handler, using multiple threads to display images in real time.   Data processing is divided into a CFaceAlign (Face Detection+ geometric normalization), CLightPrep (illumination normalization), CFaceFeature (Gabor feature extraction), CSubspace (computing Fisherface subspace) four categories, as well as a class is responsible for managing CFaceMngr interface and data exchange between. Such a program structure allows for interfaces and algorithms are independent of each other. Specific methods of each class, see the comments in the appropriate header files.)

这个是一个非常好的社区发现算法，该算法社区发现的精度非常高。(this is a algorihtm about community detection)