图形注册程序将需要帮助。

OpenCV+VS2008实现金字塔算法-OpenCV+ VS2008 pyramid algorithm to achieve

维纳滤波处理 //LPSTR lpDIBBits:指向源DIB图像指针 //LONG lWidth:源图像宽度（象素数） //LONG lHeight:源图像高度（象素数） //函数说明: //该函数用来对DIB图像进行维纳滤波复原操作。-Wiener filter// LPSTR lpDIBBits : DIB images at the source pointer// LONG lWidth : Source image width (number of pixels)// LONG lHeight : source image height (number of pixels)// Function :// function to the right DIB images Wiener filter recovery operation.

在yuv颜色空间实验的单高斯模型，用于目标检测-Yuv color space experiments in single-Gaussian model for target detection

维纳滤波经典代码，相信大家在作图像滤波时，一定有借鉴作用。采用VC实现，简单实用，可移植性强。-classic Wiener filter code, I believe we in for image filtering, it will certainly be useful. VC using a simple, practical, and strong portability.

本程序来实现 红外和可见图像的配准确 利用红外图像和可见的边缘信息进行图像匹配 先进行图像边缘检测 寻找图像中闭合轮廓 利用轮廓 的链码进行图像配准-The procedures are in place to realize the infrared and visible images with accurate use of infrared image and visibility of the edge information in image matching image to image edge detection to find the outline of the use of closed contour chain code image registration

图像处理，如何建立模版和进行模版的匹配， 快速地进行运动目标地识别-Image processing, how to create templates and template matching, quickly moving target to identify

基于OpenCV开发的道路交通视频的背景提取和前景提取。可对道路的背景进行提取和实时更新，从而提取出运动的车辆。-OpenCV on the development of road traffic video extraction and prospects of the background extraction. May be the background of road extraction and real-time updates, so extraction of moving vehicles.

VC++实现的关于人脸检测的代码.很实用。-VC++ to achieve the face detection code. Very practical.

人脸检测系统，很好用，欢迎大家下载，无错误！-Face detection system, useful, welcome to download, no error!

These are the codes in "A note on two-dimensional linear discrimant analysis", Pattern Recognition Letter In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger than that of LDA under the assumption that the same dimensionality is considered. In experimental parts, on one hand, we confirm the validity of our claim and show the matrix-based methods are not always better than vector-based methods in the small sample size problem on the other hand, we compare several distance measures when the feature matrices and feature vectors are adopted.