CoSaMP-and-OMP-for-sparse-recovery_OK

Graph Cuts是一个图像分割方法，具有交互式分割，分割效果很好。(Graph Cuts is an image segmentation method, with interactive segmentation, segmentation works well.)

说明：  这是一个在vc6.0基于OpenCV的控制台程序，本例给出一个椭圆曲线拟合的例子，程序首先发现图像的轮廓，然后用椭圆逼近它。(This is a vc6.0 console based on the OpenCV procedures, in this case gives an example of elliptic curve fitting, the program first to discover the outline of the image, and then close it with an oval.)

这是我和我的朋友们总结的立体视觉匹配算法的教学ppt，希望有用(This is me and my friends summed teaching ppt stereo matching algorithm, hope useful)

三维人脸数据库FRGC V1. 0,2.0包括图像的深度数据和纹理，格式分别保存为：abs和ppm 读取abs数据中的深度z轴数据，保存为480*640的矩阵，进而进行数据处理研究。并且贴ppm纹理，便于观察。 (Three-dimensional face database FRGC V1. 0,2.0 depth data including images and textures, formats were saved as: abs abs data and ppm reads depth z-axis data, save it as a 480* 640 matrix, and then studied for data processing . And paste ppm texture, easy to observe.)

通过自定义数学运算，在图像处理中做直方图均衡化的matlab实现(Through custom mathematical operation, do the histogram equalization of matlab in image processing)

距离模型、多普勒模拟、地球模型、的雷达图像几何校正 (Radar image geometric correction)

转：https://blog.csdn.net/jinshengtao/article/details/26278725 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。 在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)

介绍混合像元解混里面的端元提取算法N-FINDR(Describes the mixed pixel unmixing inside endmember extraction algorithm N-FINDR)

彩色图像纹理提取的一种算法，效果还挺好的(color image of a texture extraction algorithm, It's a good result)

基于滤波和BEMD的红外小目标检测算法，检测效果好。(BEMD algorithm is able to estimate the background effectively and get the target image by removing the background from the original image and segmenting the Intrinsic Mode Functions making use of the local inverse entropy.)