ppnedivision

结构光重建MATLAB模拟代码，采用PMP原理(MATLAB simulation code for structural light reconstruction)

Adaboost训练分类器的源代码，是快速人脸检测的必备。(It is the code for training classifiers by Adaboost to Face Detection)

利用matlab和ceemd进行编程求解简单的信息熵，根据求解的imf分量判断信号的情况(Using MATLAB and ceemd programming to solve simple information entropy, according to the IMF component to determine the situation of the signal)

EM算法。问题背景是，有N条长为L的DNA序列，每条序列里面有一条长尾K的目标序列，但不知道他的位置，目标序列内的核苷酸服从foreground product multinomial distribution，非目标序列服从background multinomial distribution，改程序意在求解两种分布的参数。(EM algorithm. Background to the issue is that there are N pieces of length L of DNA sequences, each sequence which has a target sequence Nagao K, but do not know his position, the target nucleotide sequence within obedience foreground product multinomial distribution, non-target sequence obey background multinomial distribution, the program is intended to change the parameters in solving the two distributions.)

图像配准，首先实现了简单的图像预处理，然后根据两种不同的配准准则，互信息和边交互方差作图像配准(Image registration, first of all to achieve a simple image pre-processing, and then two different registration criteria, mutual information and edge interaction variance for image registration)

对两幅RGB图像提取模糊颜色直方图进行比较，直接运行colortest就可得出结果 (RGB images of the two fuzzy color histogram to compare directly the results can be run colortest)

灰度共生矩阵相关资料，包括生成灰度共生矩阵matlab代码，Matlab7工具箱中缺少的graycomatrix.m文件，以及一个通过灰度共生矩阵提取特征的matlab程序（共20多个特征），可以根据他的方法来从灰度共生矩阵中提取你需要的特征。(GLCM relevant information, including generating GLCM matlab code, Matlab7 toolbox graycomatrix.m missing documents, and a gray level co-occurrence matrix feature extraction through the matlab program (a total of more than 20 features), can be based on his method to extract from the GLCM features you need.)

说明：  采用kalman滤波器进行目标跟踪的源代码(object tracking using kalman filter)

这是一个人脸检测程序，可以有效检测出图像边缘。(This is a face detection procedures can effectively detect Edge.)

非常经典的矩阵相乘以及矩阵的Doolittle分解的程序，可用于数字图像处理( Doolittle decomposition process is very classical matrix multiplication and matrix can be used for digital image processing)