frame_diff_matlab

一个简单的雷达动目标检测程序，仅供学习之用。(A simple radar moving target detection procedures, for learning purposes only.)

维纳滤波，图像恢复，通过用matllab编辑的程序实现以上功能-wena (Wiener filtering, image restoration, with matllab editing program to achieve the above functions-wena)

实现边缘连接和线段拟合源码，希望能与大家共享 (Realize the edge connectivity and line segment fitting source, hoping to share with everyone)

graphcut 图像分割经典论文 英文版(graphcut image segmentation classic paper in English)

卡尔曼滤波的一个典型实例是从一组有限的，包含噪声的，对物体位置的观察序列（可能有偏差）预测出物体的位置的坐标及速度。在很多工程应用(如雷达、计算机视觉)中都可以找到它的身影。同时，卡尔曼滤波也是控制理论以及控制系统工程中的一个重要课题。(A typical example of the Kalman filter, from a limited set, containing the noise, the position of the object observed sequence (there may be deviation) to predict the coordinates of the location and speed of the object. Its presence can be found in many engineering applications (such as radar, computer vision). Meanwhile, the Kalman filter is control theory, and control is an important topic in systems engineering.)

说明：  运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点(Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better results)

用对偶分裂算法处理乘性噪声如盐椒噪声（L1+TV），参数由电脑自动选取，matlab程序(A Duality-Based Splitting Method for L1-TV Image Restoration with Automatic Regularization Parameter Choice)

首先对指纹图像进行预处理，包括图像的分割，增强，二值化，细化。对细化后的图像进行特征点的提取，最后通过细节特征匹配完成指纹的识别。(Firstly, the fingerprint image is preprocessed, including image segmentation, enhancement, binarization and thinning. The refined image is extracted by feature points, and the fingerprint recognition is completed by minutiae feature matching.)

噪声估计法，先定位噪声点，再实行去噪处理(Noise estimation method, first locate the noise points, then implement denoising.)

根据GetVersionEx获取版本ID获取系统名称(According GetVersionEx version ID for the system to obtain the name of)