cs

这是一个sar成像的算法，它融合了cfar的处理，使目标更加凸显。非常适合用于sar成像和cfar算法的研究。(This is a sar imaging algorithm, which combines cfar processing, the target is more prominent. Very suitable for research sar algorithm for imaging and cfar.)

【实例简介】

完成了对车道线进行了识别，主要流程为灰度化，边缘检测，hough变换。(We completed the lane line identification, the main process of graying, edge detection, hough transform.)

基于不精确拉格郞日算子法的低秩矩阵重构程序，可以用于图像分割，将目标图像分割为背景和前景，从而将前景分离出来。(Lagrangian method based on imprecise low rank matrix reconstruction procedures can be used for image segmentation, the target image into background and foreground, which will separate the foreground.)

说明：  基于自适应α-β滤波器的接收机跟踪环多普勒自补偿算法(Based on adaptive alpha beta filter satellite receiver loop of the doppler compensation algorithm design)

用图片素材自制的漂亮皮肤，编写的类似QQ的聊天工具。完成了QQ的及时聊天的功能。数据库文件在DB_51aspx文件夹下用高于sqlserver2000版本的数据库管理器附加即可。程序用vs2005或较高的版本调试。调试代码前修改DbHelpClass.cs中的string Str = "server=.\服务器;uid=sa;pwd=密码;database=MyQQ";数据库的名称不用改变附加数据库文件后名称自动附加为MyQQ。修改app.config配置文件中数据库链接字符串。

用OSTU和KSW实现多阈值图像分割，matlab代码(Image Segmentation Using OSTU and KSW)

说明：  结合Retinex和CLAHE图像去雾，Retinex有ssr，msr，msrcr。(Combine Retinex and clean image to remove fog)

基于马尔科夫随机场的SAR图像分割方法，对应于采用最大后验概率准则对SAR目标切片图像分割，采用聚类分析算法求解。(SAR image segmentation based on Markov random fields, which corresponds to using the maximum posterior probability criteria for SAR Target Chip Image segmentation using cluster analysis algorithm for)

基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理 (Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixels, that is, to converge to the same point as a starting point to the category and then assigned to this type of labeling of these starting points, at the same time to contain too few pixels to remove the category. Then, using thresholding segmentation method of binary image processing)