Finite-Difference-Method-solution-to-Laplaces

平凹腔激光模式计算程序，利用边界元方法计算，matlab编程！(concave cavity laser mode procedures, the use of the boundary element method, the Matlab programming!)

在单频激光干涉仪的非线性误差中，运用细分计数方法对其进行修正，在存在高斯白噪声的情况下，采用传统的正切细分法和可修正误差的细分法来仿真比较。(In the nonlinear error of single frequency laser interferometer, the use of segmentation counting method, amending them, in the presence of Gaussian white noise, using the traditional method and the tangent subdivision subdivision errors can be corrected to simulate compare.)

说明：  元胞自动机的例子，细胞生长法完成初始化，然后计算晶粒的生长，入门级别程序(Examples of cellular automata, cell growth method to initialize, and then calculate the grain growth, entry-level program)

Useful tool for rendering and outputting information rich images(This function can be used in place of IMAGE, IMAGESC and IMSHOW, but does so much more. It is fast and displays images as they should be- correct aspect ratio, integer magnification, no axes. In addition, it can return the image as an output variable- useful for saving to disk, texture mapping surfaces, and post-rendering manipulation such as overlaying/combining two or more images. All the MATLAB built-in colormaps are implemented, but without MATLAB s nasty discretization artifacts. Plus, there are many new colormaps which are helpful for viewing more complex data, such as optic flow, likelihoods over images, difference images, segmentations, stereo image pairs (as anaglyphs) and edge-maps with orientation. It also accepts user defined linear and non-linear colormaps.)

Building GUIS with Matlab

本程序计算局部窗口的累积直方图，可用于驱动水平集和纹理分割( in this test program, we calculate the cumulative histogram in a local window centered at each pixel,this local cumulative histogram can be used to drive the level set for image and texture segmentation. Author: Associate Prof. Yuanquan Wang, Affiliation: Tianjin Key Lab of Intelligent Computing and Novel Software Technology, School of Computer Science, Tianjin University of Technology, Tianjin 300191, China 01/20/2008 Reference: 1. Tony Chan, Selim Esedoglu, and Kangyu Ni, Histogram Based Segmentation Using Wasserstein Distances, SSVM 2007, LNCS 4485, pp. 697–708, 2007. 2. Kangyu Ni, Xavier Bresson, Tony Chan, Selim Esedog, Local Histogram based Segmentation using the Wasserstein Distance, at: www.math.lsa.umich.edu/~esedoglu/Papers_Preprints/chan_esedoglu_ni.pdf or at :ftp://ftp.math.ucla.edu/pub/camreport/cam08-47.pdf )

Sutton :An Introduction:Reinforcement Learning全书所有章节代码(Sutton :An Introduction:Reinforcement Learning，all chapter all codes)

Sample Code which helps to understand how to use LocationManager.

ImageM integrates into a GUI several algorithms for interactve image processing and analysis. It allows to load images, apply filtering and/or segmentation, and run basic analyses. Interface is inspired the open source software ImageJ . To install, simply unzip, and add the path containing the +imagem directory. The application can be launched by typing: ImageM( rice.png ) (or any other image provided with the image processing toolbox). The development of ImageM started as a proof of concept for creating GUI dedicated to image processing. After adding several tools and options, I thought it could be useful to others, and maybe be used as an example of gui development. ImageM relies on the image processing toolbox and on the GUI Layout Toolbox. Most algorithms are wrapped into a specific Image class that allow to process in a unified way grayscale, binary and color images, 2D or 3D, and that can be used independently.

本程序主要是把相同的类聚在一起，便于后续的分类，方法使用简单方便。(This procedure is the same class together, to facilitate the subsequent classification method easy to use.)