GS

这是一个结合全局-局部图像对比度增强程序。首先使用全局对比度增强，然后使用局部对比度增强。程序中的参数是经过导师修改过的。文件中给出了原论文。对图像有一定的增强效果，仅供参考。(This is a combination of a global- local image contrast enhancement program. First, using a global contrast enhancement, and then use the local contrast enhancement. Program parameters are modified through mentor. Shows the original paper document. There is a certain image enhancement for reference purposes only.)

利用idl编写的窗口编辑源码，在envi/idl中直接打开应用(The use of the source code editor window idl written in envi/idl directly open the application)

最新版完整模拟QQ截屏的VB源代码，支持截图编辑（可以再截图中画矩形、椎园、文本、箭头）；带撤销，重做功能，可以说一点都不比QQ截屏逊色！(The latest version integrity imitates a QQ piece the VB source for hold a code and support cuts diagram editor (can cut again in the diagram draw rectangle, Zhui park, text originally, arrowhead)Take to cancel, do over function, can say at 1:00 an all unlike QQ piece to hold inferior to!)

图像处理中边缘提取几种方法的matlab代码(many edge extraction codes about image processing)

说明：  一份HDR rendering的code。绝对非常好，是从公司里面偷偷拿出来的(HDR rendering of a code. Definitely very good, is from the company secretly come inside)

基于互信息的图像配准算法，优化算法采用Powell和粒子群向结合的算法(Based on mutual information image registration algorithm, using Powell optimization algorithm and particle swarm algorithm to combine)

此算法是图像之间的转换，二值图，RGB等的相互转换源代码(This algorithm is the conversion between the images, the two value of the map, RGB, and so on the conversion of the source code)

卡尔曼滤波源代码 Some brief notes ---------------- kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis. Steve Roberts 7-2-98 (Kalman filter source code Some brief notes kfdemo.m is a Matlab script file to run a demonstration of theBayesian Kalman filter. It loads file kfdemo.mat (saved as version 4so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or includedas they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any furtheranalysis.Steve Roberts 7-2-98)

多尺度LBP，代码根据论文“Learning Multi-scale Block Local Binary Patterns for Face Recognition”编写的(this code is obtained from the paper named "Learning Multi-scale Block Local Binary Patterns for Face Recognition")

自己编写的粒子滤波程序，请用户自己添加视频测试(Their own procedures for the preparation of the particle filter, please add the user' s own Video Test)