NED

说明：  图像处理程序，基于K均值聚类的图像分割——灰度图像，基于中位数算法的运动目标检测(Image processing program, image segmentation based on k-means clustering -- gray image, moving target detection based on median algorithm)

基于全局直方图均衡图像增强和暗通道优先理论相结合的去雾方法。(The priority theory based on global histogram equalization image enhancement and dark channels combined to fog.)

说明：  BMED二维经验模态分解，用于处理二维信号(Two dimensional empirical mode decomposition)

一个自适应的滤波处理的方法，可以对图像有很好的处理效果。(An adaptive filtering method of treatment can have a good image the effect of treatment.)

基本实现光流法，可以显示出两张图片中，光流的方向。(The basic realization of optical flow method, can show two pictures of the direction of flow.)

主动轮廓模型结合一个特殊的显著性方法实现目标分割(using active contour with a special salient detction modle to segment an image )

使用奇异值分解算法的prony算法-single value decomposition based prony algo()

图片极坐标转换,可实现极坐标转换，以及求傅里叶变换(Picture polar coordinate conversion, convert polar coordinates can be realized, as well as seeking the Fourier transform)

在静止背景下使用背景差分法和帧间差分法进行移动目标的检测(Moving target detection using background subtraction and inter-frame subtraction in static background)

一种中值滤波的改进方法，基于滤波窗口邻域权重的中值滤波。(A median filter improvement method, based on filtering window neighborhood the weights of the median filter.)