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混合高斯背景建模，可以把连续帧图片前景与背景区分开来(Mixed gaussian background modeling, can continuous frame picture foreground and background to distinguish )

图像的检测消失点，运用到边沿检测，霍夫变换等(vanishing point detection)

SRCNN Superresolution imteplated by tensorflow SRCNN tensorflow 实现(SRCNN Superresolution imteplated by tensorflow)

基于snake模型的图像分割.Matlab 源程序(Snake model based on image segmentation. Matlab source code)

基于学习单幅图像超分辨率重建算法源代码。(based on the singal picture super resolution founding)

用c语言实现一些简单的图像处理功能，如灰度化、旋转、拷贝等(Some simple image processing functions, such as gray scale, rotation, copy, etc., are implemented in C language.)

K均值 很好用的K均值代码 很好用的K均值代码(K-means K-means used in a very good code)

亚像素边缘检测，比像素级边缘检测更有精确(Subpixel edge detection)

图像拼接源码实现，包括多频率图像融合，sift特征点配准算法(Image Stitching source implementation, including multi-frequency image fusion, sift feature points matching algorithm)

说明：  图像检测，目标检测简单来说就是找出图像中的目标并给定目标的位置，一般用矩形框定位出目标(In image detection, target detection is simply to find out the target in the image and give the location of the target. In general, the rectangular box is used to locate the target)