opencv中的图像跟踪算法，能很好的追踪视频图像中的运动物体。是很不错的跟踪算法，适合初学者反复研究。...

cif文件为视频格式。根据西交侯志强 ，韩崇昭教授，基于像素灰度归类的背景重构算法，编写。 -cif file for the video formats. According to West Zhi-Qiang Hou, Professor Han Chongzhao, grayscale pixel-based background reconstruction algorithm classified the preparation.

对图片进行灰度处理，用matlab编程来实现直方图均衡化，-Gray on the picture to deal with implementation matlab programming to histogram equalization,

VC数字图像经典算法及实现 源代码 随书光盘 -VC Digital Image classical algorithm and the realization of the source code with the book CD-ROM

程序代码说明 P0701：细胞边缘检测 P0702：癌细胞形态学分析 P0703：癌细胞颜色分析-Procedure Code Description P0701: cell edge detection P0702: morphological analysis of cancer cells P0703: color analysis of cancer cells

实现由经纬度坐标向平面坐标的变换 自己写的一段小程序-Realize by latitude and longitude coordinates to plane coordinates transform their written a small program

一种向CBitmap对象读取“*.bmp”文件的快捷方式。 1、建立自己的CBitmap派生类。 2、增加一个“Load from bitmap”的函数： BOOL CMyBitmap::LoadBitmap(LPCTSTR szFileName) { DeleteObject() HBITMAP hBitmap=NULL hBitmap=(HBITMAP)LoadImage(NULL,szFileName,IMAGE_BITMAP,0,0,LR_LOADFROMFILE|LR_CREATEDIBSECTION|LR_DEFAULTSIZE) return Attach(hBitmap) }-CBitmap object to a reading of "*. bmp" file shortcuts. One, to build their own CBitmap derived class. 2, add a "Load from bitmap" function : BOOL CMyBitmap : : LoadBitmap (LPCTSTR szFileName) (DeleteObje ct () HBITMAP hBitmap = NULL hBitmap = (HBITMAP) LoadImage (NULL, szFileName, IMAGE_BITMAP, 0, 0, LR_LOADFROMFILE | LR_CREATEDIBSECTION | LR_D EFAULTSIZE) return Attach (hBitmap);)

这是一个用于人脸跟踪算法，采用OPENCV实现。可广泛应用视频监控等领域。-This is a face tracking algorithm for use OPENCV achieve. Can be widely applied in areas such as video surveillance.

代码中给出了图像恢复的最小平方滤波和winner滤波法，并显示其结果图可进行分析比较-Code gives the least squares image restoration filtering and winner filtering method, and display the result map can be analyzed and compared

利用matlab对图象进行二维离散变换(Mallat快速算法)-using Matlab for discrete two-dimensional image transform (Mallat fast algorithm)

这是基于偏微分方程的图像处理的附带光盘内容，希望对大家有用-This is based on partial differential equations in image processing with CD-ROM and, hopefully, be useful to everyone