Description: 图像分割是由图像处理到图像分析的关键步骤，涉及到计算机视觉技术的复杂问题。在医学图像方面，许多应用大都依赖于对图像中目标轮廓的准确提取。基于微分算子检测的方法几乎都对噪声较为敏感且不能保证得到连续的边缘，无法用于辨识和分析目标。由Kass提出的基于主动轮廓线的Snake模型[1]，用一个具有一定弹性的封闭曲线，在曲线自身形状约束力和由图像数据计算而来的外部力的共同作用下演化，来逼近目标边界，完成对图像的分割。
GVF snake VC++做的-Image segmentation by image processing to image analysis of the key steps involved in computer vision technology to complex problems. In medical images, many applications largely depends on the target images extracted contour accuracy. Based on the differential operator method of detecting almost all more sensitive to noise and can not guarantee that they will get straight edge, can not be used for target identification and analysis. Kass raised by the active contour based on the Snake model [1], with a certain flexibility of the closed curve in the curve shape their own binding and calculated by the image data from the external force under the joint effect of the evolution of the boundary to approximate the target , completion of the image segmentation. GVF snake VC++ Make the Platform: |
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Author:happynp |
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Description: gvf snake 邊緣檢測範例(包含範例圖)-1. Introduction and Installation Instructions
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Welcome to the Gradient Vector Flow (GVF) Active Contour Toolbox. The
Matlab*.m files in this software distribution implement our GVF snake,
the original (Kass, Witkin, and Terzopoulos) snake, the balloon snake,
and the distance snake. These programs were designed, written and tested
by Chenyang Xu and Jerry Prince.
To install this software, simply unzip the file into an empty directory,
making sure to ask your unzipper program to restore the directory
structure of the zipped files. In this documentation, we will assume
that you have unzipped the files into C:\GVF.
2. Documentation
----------------
We have included two research papers that describe GVF. You can find
these in C:\GVF\papers.
Brief descriptions of the software modules can be found in this file
below. For more detail, you should run Matlab, add the path
C:\GVF\snake, and type "help function-name". F Platform: |
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Author:Jason Wang |
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Description: 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 Platform: |
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Author:zhou |
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Description: 在传统的计算机视觉领域,严格的各自独立的分层理论有广泛的影响.这种理论认为,底层的视觉任务的完成只能依赖于从图像本身获得的信息.Kass等人对这种模型提出了挑战,于1987年提出了称为Snake的主动轮廓线模型(active contour model).近10多年来,Snake模型在计算机视觉领域得到了广泛应用,取得了许多重要的进展.该文回顾了近10多年来Snake模型的研究、发展及应用情况,并对未来的发展方向进行了展望.
- In the field of traditional computer vision, the theory, in which the visual interpretation task
comprises several levels that can be managed independently, has great influence on researchers. It presents that
the information for accomplishing low level visual task can only be obtained from image itself. Kass et al.
challenged the theory by developing an active contour model called Snake in 1987. Since then, this model has
been enjoying a wide range of applications in the field of computer vision and significant advances have been
made. The paper reviews the research, development and applications of the active contour model, and presents
possible future research orientations.
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Author:陈鹏 |
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Description: kass active contour, this program use an image which is a flower for example and use the kass algorithm to find the border of the image Platform: |
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Author:atefeh |
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Description: 这是主动轮廓模型的opencv代码，实现的是kass“Snakes: Active Contour Models ”中的结果，参数需要自己细调。-This is the opencv code active contour models, implementation is kass " Snakes: Active Contour Models" in the results, the parameters need to fine-tune their own. Platform: |
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Author:龙鹏 |
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Description: 形变活动轮廓模型，实现Snake（Kass)模型(The deformable active contour model is used to implement the Snake (Kass) model) Platform: |
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Author:233cy
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