fracal_function

matlab十大算法程序压缩，用于数学建模同学或者爱好MATLAB同学借鉴(Ten compression algorithm matlab program for the students to mathematical modeling, or MATLAB-loving students learn)

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)

canny边缘算法的实现，代码比较简单，能实现。(canny edge algorithm, the code is relatively simple to achieve.)

Program to rotate an image by 90, 180 and 270 degrees

说明：  利用最小二乘法对实验数据进行曲线拟合，可得到比较准确的拟合图形以及干涉代码。(The least square method is used to perform curve fitting on the experimental data to obtain a more accurate fitting graph.)

关于GPS单点定位的matlab程序，希望对大家有所帮助(GPS single point positioning on the matlab program, we want to help)

《MATLAB程序设计教程》电子书，不知论坛上有了没。(" MATLAB Programming Guide" books, I do not know the forum has not.)

dtw改进算法源码 在matlab下试验 可以很好识别语音(dtw source under test can be very good at matlab voice recognition)

模式识别中用matlab实现c均值的计算，分类实现的算法。(matlab，c-means fuction)

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