Diliver20120920yy

本源码是基于Markov chain Monte Carlo (MCMC)的Bayesian inference工具包,其中包括MCMC采样，基于MCMC的高斯分类，同时描述了采样的一些方法。其中还有使用文档(toolbox is a collection of Matlab functions for Bayesian inference with Markov chain Monte Carlo (MCMC) methods)

包括harris经典算法、harris-Laplace算法，以及susan算法，鲁棒性好(Harris, including the classic algorithm, harris-Laplace algorithm, as well as susan algorithm, better robustness)

指纹识别的MATLAB程序，包含了特征点抽取，特征点匹配，识别。(Fingerprint of the MATLAB program, including the feature point extraction, feature point matching, identification)

背景减除的完整算法，《A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection》作者源代码(The "src" folder contains all of the source code. To run the program, follow these simple steps: 1. Start MATLAB and ensure the "src" folder is your current working directory. 2. Edit "bs.m" and "classify.m" so that the file paths point to the proper directories as specified. 3. In the MATLAB environment type "bs" which will train the background model from the sequence you specified in (2). 4. In the MATLAB environment type "classify" which will classify the sequence of images you specified in (2). 5. Now the classified images should be saved to disk in the folder you specified in (2).)

ENVI4.7及以上版本和IDL7.1以上版本,将高光谱遥感图像进行Savitzky-Golay光谱平滑滤波(ENVI4.7 above and IDL7.1 and above, hyperspectral images Savitzky-Golay smoothing filter spectrum)

基于BP神经网络的人脸识别(java源码)

说明：  生成差异图，用于变化检测，包含比值法、差值法、均值比算法等(The difference graph is generated for change detection, including ratio method, difference method and mean ratio algorithm)

这是一个数字模糊处理的算法论文!很好很经典(Number obfuscation algorithms! Good classic)

以MSTAR为实验数据，对SAR影像进行杂波统计分析研究。利用高斯、瑞利、对数正态、LN、gamma函数模型对其拟合，通过K-S方法检验拟合精度(The MSTAR the experimental data, statistical analysis of SAR images of clutter. Gaussian, Rayleigh, lognormal, LN, gamma function model to its fitting, fitting by means of checking the accuracy of KS)

西安科技大学，图像处理教程的课件，做成了PDF格式，希望对你们有用(Xi' an University of Technology, image processing tutorial courseware, made the PDF format, hope that is helpful for you)