本代码实现了对BMP图像进行几何变换，如缩放、旋转，平移等

离散余弦变化的应用，先对图像进行灰度变换，再对图像进行压缩-Changes in the application of discrete cosine first gray-scale transformation of the image, then compress the image

基于VC++，MFC界面，载入背景图片和检测图片，可以检测出运动物体和运动轨迹，可以收到操作滤波，除噪，匹配等功能-Based on VC++, MFC interface, load background images and testing images, can detect moving objects and motion trajectory, you can receive the operation of filtering, in addition to noise, matching and other functions

数字图像处理讲义和代码 数字图像处理讲义和代码-Digital Image Processing Lectures and code of digital image processing notes and code

左边显示BMP文件并且可以加入自己算法来对其进行修改显示在右边，可以把右边的bmp图像另存为新文件-The left display BMP files and can add their own algorithm to modify shown on the right can be the right bmp image as a new document

networld 程序matlab可以画图-Networld procedures can draw matlab

阈值分割和轮廓提取的源代码。在vc6.0下通过编译。欢迎下载。-Threshold segmentation and contour extraction of the source code. In vc6.0 through the compiler. Welcome to download.

这篇文章是发表在08年ACM上的一篇图像检索综述，作者是PSU大学的博士毕业生，作者参考了300多篇文献，非常细致的讲述了image retrieval近几年的算法，方法，以及发展方向。-This article was published in the 2008 ACM on an image retrieval review, the author is a Ph.D. graduate PSU University, the authors made reference to more than 300 literatures, very careful about the image retrieval in recent years, algorithms, methods, and direction of development.

（原创）包括冲激响应不变法设计ButterWorth数字低通滤波器、双线性变换法设计ButterWorth数字低通滤波器、和双线性变换法设计ChebyshevI型数字低通滤波器-(Original) includes the same impulse response ButterWorth Design of digital low-pass filters, bilinear transform design ButterWorth digital low-pass filter, and the bilinear transform design ChebyshevI digital low-pass filter

在OpenCV的cvaux有高斯混合模型函数，其中定义了CvGaussBGModel类用于存放高斯混合模型的各个参数。在编写代码前需要对cvbgfg_gaussmix.cpp和cvaux.h这两个文件做些修改-OpenCV has cvaux in the Gaussian mixture model function, which defines the category CvGaussBGModel Gaussian mixture model used to store various parameters. In the preparation of the code before the need for cvbgfg_gaussmix.cpp and cvaux.h revise the two documents do

基于mean-shift运动目标跟踪源码,环境在MATLAB下进行-Mean-shift-based Moving Target Tracking source code, the environment carried out in MATLAB