windpenetrationRE2

无摄像机抖动的背景建模方法，使用张量分解，需要张量工具箱的支持。(a background estimation method, using tensor factorization.)

it s a tiny code.i m looking forward to help someone

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

MATLAB Code for Shape from Shading

mobile user location matlab coding

平面度检测算法，算法基于遗传算法实现，开发环境为MATLAB7.1。(Flatness detection algorithm, the algorithm based on genetic algorithm, development environment for MATLAB7.1.)

matlab 界面编程实例，一个实例搞定界面编程，附加simulink实例，适合新手上路(a brief example for new learner to learn matlab gui)

This Matlab code was developed for skin pixel detection in general imagery. Non-parametric histogram-based models were trained using manually annotated skin and non-skin pixels. A total of 14,985,845 skin pixels and 304,844,751 non-skin pixels were used.

利用贝叶斯实现的分类器小程序，显示出按照最小风险和最小误差分类的结果(Bayesian classifier implemented using a small program to show in accordance with the minimum risk and minimum error classification results)

matlab图像处理 图像处理常用函数集锦 总结出来大家分享一下(matlab image processing function image processing used to share with you highlights summed up)