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matlab code for optical flow lk algorighm

function g=nonlineareq(x) Here is an example of nonlinear system that can be solved by using the Matlab command "fsolve" written in the file called "solution.m"

NSIMCAv1工具箱能够对每一类进行分类(The presentNSIMCAv1 toolbox contains Matlab implementations forclassification。)

该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。 请举出下列文件如果您发现此代码有用： Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法 http://seas.harvard.edu/〜 rkkumar radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能， getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器 makeBarFilters.m：助手为高斯函数的二阶导数滤波器 sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images. Please cite the following paper if you find this code useful: Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010 http://seas.harvard.edu/~rkkumar radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters makeBarFilters.m : Helper function for Gaussian Second Derivative Filters sample.png : Sample image for use in this demo )

图论中最短路径算法Dijkstra算法实现，很有用的(Shortest path algorithm Dijkstra algorithm in graph theory, useful)

FDTD法模拟无源区域二维TE波的传播(Mur二阶吸收边界条件)(FDTD method to simulate passive regional 2D TE wave propagation (Mur absorbing boundary conditions))

说明：  极限学习机一种单隐层神经网络，用于数据分类，故障诊断等(ELM is A single hidden layer neural network for data classification, fault diagnosis, etc)

说明：  国外课件：Active shape model 和 active contour model(snake)的matlab 原码，包括PDF格式的程序使用说明(Foreign courseware: Active shape model and active contour model (snake) in the matlab source, including the PDF format of the program instructions)

ＲＬＳ算法用ＭＡＴＬＡＢ实现语音去噪，包含源程序注释，方便易懂(RLS algorithm with MATLAB voice denoising)

使用CAV方法求解病态方程组，得出较为精确的解，(Using the CAV method for solving equations ill, arrive at a more accurate solution,)