图像处理。

基于OpenCV的计算机视觉技术实现 作者:陈胜勇 刘盛 等 此书第二章代码1-OpenCV based on computer vision technology: Chensheng Yong Sheng-code such as this book Chapter 1

RGB24向RGB15的转换-RGB24 to RGB15 conversion

关于matlab的基本的人脸识别程序，涉及图像处理方面的知识-On face recognition matlab basic procedures involved in image processing knowledge

二维的粒子群算法仿真试验的matlab代码， 希望对大家有有帮助。-two-dimensional simulation PSO upload point of view we have a right to help.

MATLAB工具箱，《数字图像处理》冈萨雷斯版专用，网上不少人在找，这是我从国外网站下载的，贡献出来。-MATLAB toolbox,

边界跟踪程序，可以跟踪闭合的边界和非闭合的边界。读者可以根据自己需要存储其跟踪方向以及跟踪路径。-Boundary tracking program, you can track the closed borders and the non-closed borders. Readers can track the direction of their own need to store and track the path.

图像的几何变换，是本人原创的程序，经典，适合于初学者的理解-images of geometric transformation, I was the original procedure, classic, suitable for beginners understanding

里边包含OpenCV中文参考手册 OpenCV是Intel® 开源计算机视觉库。它由一系列 C 函数和少量 C++ 类构成，实现了图像处理和计算机视觉方面的很多通用算法。 -Chinese inside OpenCV reference manual contains the OpenCV is Intel ? Open Source Computer Vision Library. It consists of a series of C function and a small amount of C++ Category consists realize the image processing and computer vision aspects of many common algorithms.

Forward-Backward MHI(前后向运动历史图)是一个快速有效的运动目标检测方法，本程序正是实现2006年Zhaozheng Yin and Robert Collins的“Moving Object Localization in Thermal Imagery by Forward-backward MHI”文献中的方法。此程序可以很方便的对该方法的优缺点作出评判。给运动目标检测器的选择提供了除“帧间差”和“背景相减”外的又一方法。 本程序基于OpenCV。-Forward-Backward MHI (before and after the historical figure to the movement) is a fast and efficient moving target detection methods, this program is to achieve in 2006 Zhaozheng Yin and Robert Collins of the " Moving Object Localization in Thermal Imagery by Forward-backward MHI" in the literature method. This procedure can easily judge the advantages and disadvantages of the method. To the moving target detector choose to provide that except " bad frames" and the " background subtraction" another way outside. The program is based on OpenCV.

用matlab编写的基于内容的图像检索源代码。-Matlab prepared with content-based image retrieval source code.