图像边缘检测

说明：  SAR影像单视数据转为多视数据，数据间相互转化，快捷处理SAR数据(Single-look SAR image data into a more visual data, data inter-conversion, fast processing SAR data)

对车牌进行预处理（图像分割），然后进行文字识别(Pretreatment of the plate (image segmentation), and then proceed to character recognition)

说明：  改进了Criminisi算法，采用P-laplace算子作为数据项进行优先级计算，并有计算PSNR的功能(Improved Criminisi algorithm, using P-laplace operator as data items priority basis, and have calculated the functions of PSNR)

基于sift的图像特征点提取和图像拼接，有可直接运行的代码和图片(Sift the image feature point extraction and image stitching, can be directly run the code and pictures)

极化SAR图像处理中，将协方差矩阵转换为STOKES矩阵或Mueller矩阵的程序(Polarization SAR image processing, the covariance matrix will be converted to matrix or Mueller matrix STOKES procedures)

MSE，最小均方误差,用于图像匹配，可用，亲测(MSE, minimum mean square error for image matching, available, pro-test)

C#的图像处理，用于验证码的识别功能，可以识别简单的有背景干扰的验证码(C# image processing, is used to identify functional verification code, you can recognize simple background interference verification code)

利用K均值聚类的方法实现人体的检测，混合高斯模型建立背景并实时更新(The use of K-means clustering method to achieve the human body detection, Gaussian mixture model to establish the background and real-time updates)

说明：  用matlab写的t-snake的算法用于处理比较简单的情况有一定参考价值(using Matlab write t-snake algorithm for handling simple reference of a certain value)

数字散斑相关程序，能够计算2副图片的位移，简单的例子，对初学者也许有用。(Digital speckle correlation program can calculate the displacement of two images, a simple example, may be useful for beginners.)