enob_estimation_IpDFT

这是用来解常微分方程的原代码，是我自己编的哦。(This is the solution of ordinary differential equations for the original code, is a series of my own Oh.)

图像增强方法，采用保持形状的灰度变换方法实现多层对比度增强(The image enhancement method,use gray-scale transformation method holding shape to realize multilayer contrast enhancement.)

说明：  所谓分水岭算法有好多种实现算法，拓扑学，形态学，浸水模拟和降水模拟等方式。 本源码实现了matlab基础上的分水岭算法，并实现了。(Watershed algorithm has a good variety of the so-called algorithm, topology, morphology, water modeling and simulation methods of precipitation. The source implementation of the watershed algorithm based on matlab and true.)

matlab由浅到深的解析，源码都有，很好的初学者学习资料(matlab from shallow to deep parsing, source code has, very good information for beginners to learn)

暂态程序，主要应用于电力系统分析过程当中。(transition)

a.阅读的图像img_1.tif，img_2.png的文件夹中，并 他们展示于一体，这两个数字分别。 （参考函数：imread, imshow, figure, subplot） b.在matlab，观察从工作区中的图像信息面板 c.分别使用size, imfinfo,whos等功能获得的图像信息 d.添加标题的图像。 （参考函数：title） Ë 。下面的代码实现的M文件编辑器 f=imread(‘img_1.tif’) imshow(f) set(figure(1), NumberTitle , off , Name , my first image’) 观察结果，并确定的功set() f。保存img_1.tif目录“D： imagetest”。如果该文件夹不 存在，请首先创建这个新的文件夹。 （参考函数：imwrite） (a. Read the images img_1.tif, img_2.png given in the folder, and show them in one and two figures respectively. (referenced function: imread, imshow, figure, subplot) b. In matlab, observe the images information from the workspace Panel c. Use size, imfinfo,whos,etc functions to obtain image information respectively. d. Add title to the images. (referenced function: title) e. Implement the following codes in the M-file Editor f=imread(‘img_1.tif’) imshow(f) set(figure(1), NumberTitle , off , Name , my first image’) observe the result, and determine the function of set() f. Save img_1.tif to the directory “d:imagetest”. If the folder does not exist, please create this new folder first. (referenced function: imwrite))

基于粒子群算法的图像分割算法代码源程序，主要是基于阈值分割的方法的(Image segmentation algorithm based on particle swarm optimization (pso) algorithm)

MATLAB入门到精通第十章的全部实例的代码(Introduction to Mastery Chapter MATLAB all the code)

介绍了MATLAB求解应用数学问题的相关知识，很详细，是英文的。(Describes the application of MATLAB to solve mathematical problems related to knowledge, very detailed, is English.)

说明：  （蒙特卡洛方法） 求出四分之一圆占正方形的比例。随机投点P(x,y)于正方形，π/4的近似值为落在四分之一圆内的点数与总投点数的比值。随机投点次数分别为10000次和50000次，计算π的近似值。 ((Monte Carlo method) are obtained accounting for a quarter of a round square ratio. Voted random point P (x, y) in the square, π/4 for the fall quarter of the approximation of the points won and the ratio of the total vote points. The number of random points, respectively, voted for the 10000 and 50000 times, the calculation of the approximation of π.)