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step01
Real time windows target with step function
- 2010-11-09 10:43:29下载
- 积分：1
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activeContoursSnakesDemo
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)
- 2010-07-05 11:54:13下载
- 积分：1
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matlab
matlab图形操作指令,可以方便很好掌握图形操作。(matlab graphics operations command)
- 2009-11-06 09:03:15下载
- 积分：1
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BPSK_Simulink
This file describe the BPSK simulink
- 2012-06-30 02:30:34下载
- 积分：1
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SelPSO
粒子群算法自适应优化版matlab源程序(Adaptive particle swarm algorithm to optimize version of matlab source
)
- 2013-10-17 13:09:46下载
- 积分：1
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4
说明： its about wireless sensor network
- 2011-01-07 20:13:50下载
- 积分：1
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200503-95
为了弥补传统中值滤波器在进行图像降噪处理中的不足,在图像降噪技术中应用了自适应中值滤波器。文中重点介绍了自适应中值滤波器的工作原理并在Matlab平台上进行了仿真试验，与传统中值滤波器进行了比较,计算机仿真结果表明在对密度较大的椒盐噪声进行滤波时,自适应中值滤波较传统中值滤波具有较大的优越性。(To remedy disadvantage of traditional median filtering algorithms in image denoise ,adaptive median filter is introduced and applied to image denoise. Key technology in actual uses is analyzed and is implemented in Matlab platform.Compared with traditional median filter , the computer simulation results show that when used to filter image with the higher level of noise , adaptive median filter is preferable to traditional median filter.)
- 2010-05-31 09:19:25下载
- 积分：1
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NWA-Folder
Functions of the routines:
LWA.m: to compute the LWA [4, 5] for IT2 FSs (or the special cases of T1 FSs, intervals or
numbers) whose FOUs have arbitrary shapes
- 2014-08-18 18:59:20下载
- 积分：1
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fuzzy
this package provides ehe fuzzy c means segmentation algorithm and its input type.. source code is also availble
- 2013-09-19 17:39:32下载
- 积分：1
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link-budget
Link budget source code
- 2012-09-07 13:03:51下载
- 积分：1
