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基于C++的人脸分割的设计，C／Ｃ++语言、数字信号处理，最好选修过“数字图像处理”。(Based on the C++ face segmentation design, C/C++ language, digital signal processing, the best elect digital image processing.)

灰度图像到RGB彩色的伪彩色图像的转变程序(Gray-scale image to RGB color of the pseudo-color image change procedures)

把jpg或bmp图片转换为AVI视频的C#版程序，但功能相对简单，需要大家继续丰富。(Jpg or bmp image to convert the C# version of AVI video program, but the function is relatively simple, we should all continue to enrich.)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SP算法，对256*256的lena图处理，比较原图和SP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间(Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and SP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

s变换；广义s变换；高斯邻域；时频分析；滤波(s transformation generalized s transformation Gaussian neighborhood time-frequency analysis Filtering)

基于分块可压缩传感的图像重建，里面包括contourlet、DWT、DDWT、DCT，图像压缩传感与重建。(Based on the sub-block compressible sensing image reconstruction, which include the Contourlet DWT DDWT,, DCT image compression sensing and reconstruction.)

说明：  这个matlab代码，用于测试图像融合函数的算法性能。输入两幅原始图像和融合以后的图像，函数将评价出该算法的性能。(The matlab code, for testing image fusion algorithm function. Input the original image and the integration of two subsequent images, the function will evaluate the performance of the algorithm.)

说明：  利用匹配滤波器实现图形识别，包括程序和说明文档(Graphic Recognition Using Matched Filter)

这是一个surf特征匹配matlab程序，里面有实例和测试图像(This is a surf feature matching matlab program, there are examples and test images)

直方图的计算与显示分析图像、物体和视频信息过程，我们常把看到的物体用直方图（histogram）表示，直方图可以用来描述各种不同的事情，如物体的色彩分布、物体边缘梯度模板，以及表示目标位置的概率分布(Calculation and analysis of the histogram display images, objects and video information process, we often see objects with the histogram (histogram) indicates, the histogram can be used to describe a variety of different things, such as the color distribution of objects, object edges gradient templates, and the probability distribution of the target position)