GeneradorGumbelM

Classification with neural network in matlab in Farsi.

本演示实现了主动轮廓模型由Kass等人提出。 要运行它的图形用户界面 1。基于MATLAB型引导提示。 2。关于“到现有的图形用户界面，点击” 3。选择在与本文件相同的目录snk.fig文件 4。按一下上方的绿色箭头启动图形界面 一旦GUI已经启动，您可以通过使用蛇 1。点击“新形象”，并加载输入图像。提供的样品图像。 2。平滑参数设置“西格玛”或保留其默认值并点击“过滤器”。这将平滑图像。 3。只要你点击“过滤器”，头发会出现交叉，用他们和你左击鼠标，您可以选择在图像上的初始轮廓的位置。会出现一个红色圆圈到处您单击并在多数情况下，你应该单击对象周围的一切你想要的部分。最后一点，必须挑选使用右键单击，以阻止更多的积分为MATLAB的要求。 4。设置各种蛇参数（在能源方面的相对权重的蛇目标函数）或离开它们的默认值，然后按一下他们“迭代”按钮。蛇会出现和移动，因为它收敛到它的低能量状态。(This demo implements the Active Contour Models as proposed by Kass et al. To run it with GUI 1. Type guide on the matlab prompt. 2. Click on "Go to Existing GUI" 3. Select the snk.fig file in the same directory as this file 4. Click the green arrow at the top to launch the GUI Once the GUI has been launched, you can use snakes by 1. Click on "New Image" and load an input image. Samples image are provided. 2. Set the smoothing parameter "sigma" or leave it at its default value and click "Filter". This will smooth the image. 3. As soon as you click "Filter", cross hairs would appear and using them and left click of you mouse you can pick initial contour location on the image. A red circle would appear everywhere you click and in most cases you should click all the way around the object you want to segment. The last point must be picked using a right-click in order to stop matlab for asking for more points. 4. Set the various snake paramete)

P1-AFEM and Computational Geometry Codes(The 3D bisection scheme provided by this package is programmed in C and needs to be compiled before use by calling the scriptsetup. You can try out the bisection scheme by starting a 3D example, e.g. exampleSimplex.)

matlab 实现红绿黄交通信号灯的识别检测，很容易理解，很适合新手学习(Recognition and detection of Matlab implementation of green and yellow traffic signal light, easy to understand, very suitable for beginners to learn)

PSO PID 粒子群优化的最优控制器 用于交通流量控制 PSO PID 粒子群优化的最优控制器 用于交通流量控制(Particle Swarm Optimization PSO PID controller for optimal traffic flow control Particle Swarm Optimization PSO PID controller for optimal traffic flow control)

汽车四分之一悬架模型建模与仿真，simulink(Car Modeling and Simulation fourth suspension)

s in academia, and in the military. In fact, in some sense, the 3D graphics we enjoy on our PCs today is a sort of Peace Dividend, since many professionals now working in the 3D chip, film and game development industries cut their teeth designing military simu

基于视频图像的车牌定位程序，其中预处理包括图像二值化、边缘提取、图像滤波和形态学处理的等等，最后利用投影进行车牌定位。(License Plate Location Based on Video Image program, which includes image binarization pretreatment, edge extraction, image filtering and morphological processing, etc. Finally, projection for license plate location.)

利用形态学将提取的特征，利用膨胀腐蚀等方法完善。(Using the morphology of the extracted feature, expanding the use of costumes and other methods to improve.)

介绍了容积卡尔曼滤波，非常适合初学者对CKF的研究(This paper focuses on the cubature Kalman filters (CKFs) for the nonlinear dynamic systems with additive process and measurement noise)