混合高斯模型的经典文章，费了我好大的劲才能找到

使用二维矩方法对数字图像实现像素级角点检测-The use of two-dimensional moment method implementation of the digital image pixel corner detection

hough变换的一些经典文章，可供参考。-hough transform a number of articles for reference.

稀疏光流Demo 此程序是斯坦福大学大牛David Stavens 2007年编写，其中程序注解详尽，配有PPT和PDF讲解图文并茂，非常适合初学者学习使用。本程序基于OpenCV。-Sparse Optical Flow Demo this program at Stanford University David Stavens 2007, prepared beef, including a detailed program notes, with a PPT, and PDF to explain illustrated, ideal for beginners learning to use. The program is based on OpenCV.

Tamura纹理特征提取程序，matlab编写，通过运行测试无误。另附有pdf介绍Tamura纹理特征定义，希望对大家有帮助。-Tamura texture feature extraction procedures, matlab prepared correctly by running the test. Tamura has attached pdf introduce the definition of texture features, in the hope that everyone has to help.

图像处理源码，包括很多图像处理的技巧，只是觉得缩放不太好用,WINDOWS /Linux system-cximage600_full

这是一个比较另类的图像库，它本身并不提供对图像对象的封装，只以类似插件的形式为您提供图像处理算法的封装和进度显示，而图像对象的封装则需由用户来提供。 本图像库平台无关，理论上它可以应用于任何已有的C++图像类上。 -This is a rather different type of image library, it does not provide the image object package, only the form of a similar plug-ins for your image processing algorithms to provide packaging and progress display, and image package should be targeted by user to provide. The image database platform-independent, in theory, it can be applied to any existing C++ Image category.

一些用于图像处理常用的MATLAB编码，对初学者会很适用的。-Some commonly used for image processing MATLAB code, for beginners will be very applicable.

移动图像分割方法研究 文中针对移动图像的图像分割,采用时间域信息捕捉移动物体, 然后利用空间域信息进行细致的分割,提出了一种新颖又实用的移动图像分割方法 -Mobile text, image segmentation method for mobile imaging in the image segmentation, the use of time domain information to capture moving objects, then the use of detailed spatial information of the partition, a novel and practical method of image segmentation mobile

图像线性拉伸和直方图均衡化的组件，可以直接调用接口使用。-Image linear stretching and histogram equalization component, you can directly call the interface.

用Hough变换方式检测图像中的圆，vc++可以实现-use Hough transform methods for detection of the image, round can be achieved vc