matlab-xbbh222

这是基于mean-shift运动目标跟踪的matlab仿真的程序，含有三个M文件(This is based on the mean-shift moving target tracking matlab simulation program, containing three M documents)

多种刚性和非刚性配准算法，带有举例说明，非常好用(Multiple Rigid and Non-Rigid Registration Algorithms)

基于图像的条形码识别程序（识别EAN13码），只要条形码的背景部分是纯色，程序就能有相当强的鲁棒性。(Image-based bar code recognition program (recognize EAN13 code), as long as the background of the bar code is solid, the program can be quite strongly robust.)

关于Bayes分类器的 实验数据都有 大家相互共享 很好用的软件(Bayesian classifier on the experimental data we have very good mutual sharing of software)

通过统计直方图并作相应的处理完成了红外图像非均匀性校正，特别是针对红外图像中常见的条纹非均匀性(Through statistical histogram and processed accordingly infrared image non-uniformity correction, especially for the common striped infrared image non-uniformity)

本手册主要介绍粒子滤波的基本原理和其在非线性系统的应用（主要是目标跟踪、多目标跟踪、电源寿命预测方面的应用）。同时本手册最大的优点是介绍原理和应用的同时，给出实现例子的matlab代码程序，方便读者对照公式，理解代码。因此，它是相关方面的研究者快速上手和进入研究领域的快捷工具。同时，对于有一定基础的研究者，可以在本手册提供代码的基础上，做算法进一步改进和深入研究。(This manual describes the basic principles of particle filter and its application in nonlinear systems. The biggest advantage of this manual is to introduce the principles and applications of the same time, given the matlab code example implementation program, formula for the convenience of readers, to understand the code. Therefore, it is relevant researchers to quickly get up and running enter research areas shortcut tool. , Based researchers, on the basis of this manual code to do the algorithm to further improve and in-depth study.)

这是二维图像双边滤波的相关程序，具有保边去噪的效果，适合对图像进行处理。(This is the two-dimensional image bilateral filtering procedures, with the edge-preserving denoising effect, suitable for image processing.)

最邻近插值的matlab实现代码，可以对图像进行插值，插值的方法为最邻近插值法(The nearest neighbor interpolation matlab code, image interpolation, interpolation methods nearest neighbor interpolation)

VisualC++数字图像处理技术详解第2版光盘-第五章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter V)

对双目视觉图像对进行匹配获取视差图，为后续三维重建做基础。(Binocular vision images are matched to obtain the disparity map, as a foundation for the subsequent three-dimensional reconstruction.)