xt3

说明：  实现了监控视频图像的去隔行算法，使隔行扫描的图像插值成为逐行扫描(The realization of the surveillance video images Deinterlacing Algorithm, so deinterlacing Image Interpolation become progressive scan)

图像处理中常用的滤波函数库，包括高斯滤波、DOOG滤波等等，很有用的Matlab实现的代码库，添加到Matlab工作路径即可使用。(The filter used in image processing library, including Gaussian filter, DOOG filtering, etc., to achieve useful Matlab code base, added to the Matlab working path can be used.)

阴影检测,基于OpenCV用于对图像中阴影的检测(Shadow detection, OpenCV for image shadow detection)

用Graph cuts 来解决磁共振图像的 phase unwrapping。(Graph cuts used to solve the magnetic resonance images of the phase unwrapping.)

基于SUSAN特征检测算子的边缘提取，添加图片即可运行，可自行根据图片特征设置参数得到较好的边缘检测效果(Edge detection feature extraction SUSAN operator, add images to run, you can set your own parameters to get a better edge detection based on image characteristics)

采用最大后验（MAP）算法来实现图像的超分辨率算法(The super-resolution algorithm using the maximum a posteriori (MAP) algorithm to achieve image)

Multi-Scale Structural Similarity Index (MS-SSIM). Download here. Please cite the following paper in any published work if you use this software. Z. Wang, E. P. Simoncelli and A. C. Bovik, "Multi-scale structural similarity for image quality assessment," IEEE Asilomar Conference Signals, Systems and Computers, Nov. 2003.

极化SAR图像处理中，将三个不同极化通道的数据进行为彩色合成的程序(Polarization SAR image processing, will be three different polarization data-channel color composite of the procedures for)

基于Harris角点检测的图像拼接matlab实现， 主要内容包括Harris角点检测，NCC,RANSAC以及2幅图像的拼接(A image mosaicing algorithem which based on Harris corner feature detection achieved in matlab. The main contents include the Harris corner detector, the NCC, the RANSAC and two image mosaicing)

基于光线补偿的人脸检测。首先对图像进行光补，在此基础上结合肤色和发色进行人脸检测。(Light compensation based on face detection. First, the image light make up, in this based on the combination of color and hair color for face detection.)