adapt2

基于光流场的交通汽车检测跟踪Traffic Vehicle Detection and Tracking Based on Optical Flow Field(Traffic Vehicle Detection and Tracking Based on Optical Flow Field)

avi视频提取出书帧图像，然后对图像进行处理，经过处理后的图像帧再写成另一段的avi视频。(avi video video frame extracted, processed image frame, and then the images will be referred to the district into another frame of video avi.)

卡尔曼滤波、无迹卡尔曼滤波、扩展卡尔曼滤波等滤波程序，本人收集了实验室所有这个方面的程序，欢迎大家下载，非常好用~(Kalman filtering, unscented Kalman filter, extended Kalman filtering, filtering program, I collected all the aspects of laboratory procedures, are welcome to download and very easy to use ~)

ostu二值化算法vc实现，基于MIL图像处理软件包将图像解析，通过ostu求取二值化阈值，实现二值化算法(ostu binarization algorithm to achieve vc, MIL image processing software package based on the image resolution, strike through ostu binarization threshold binarization algorithm to achieve)

sift算法引用于图像处理的一些常用程序(a reference to the image processing algorithms sift some common procedures)

基于MATLAB的车牌识别系统的源代码(可以实现)(The source code of the license plate recognition system based on MATLAB (can be realized))

人脸识别考勤系统

对于离焦图像进行自动对焦的图像判定，通过对一些列的图像，从离焦到对焦再到离焦进行图像分析从而获得对焦图像的图片。(For the defocus image autofocus image determination, through a series of images into focus and then from defocus defocused image analysis to obtain a focused image of the picture.)

基于Visual C++的图像边缘检测工程，以Canny为例(Visual C++-based image edge detection works to Canny Case)

说明：  数字图像处理常用程序，包括图像读取、显示、详细信息，对图像文件格式转换，RGB分量显示，索引图像、伪彩色图像、真彩色图像显示，灰度直方图处理，图像灰度变换，均衡化处理，图像加噪声处理，均值滤波、中值滤波，图像加减乘除运算，图像放大，插值拟合，旋转，多种边缘检测方法，高通滤波，低通滤波，带通滤波，维纳滤波，运动模糊等处理。(Common digital image processing programs, including image reading, display, detailed information, image file format conversion, RGB component display, index image, pseudo color image, true color image display, gray histogram processing, image gray transformation, equalization processing, image plus noise processing, mean filtering, median filtering, image plus, subtraction, multiplication and division, image amplification, interpolation Fitting, rotation, multiple edge detection methods, high pass filtering, low-pass filtering, band-pass filtering, Wiener filtering, motion blur and other processing.)