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ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。
基本思想：
在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。
-Descr iption This is an example of the basic Active Shape Model (ASM) as introduced by Coot
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本文主要研究基于水平集方法的活动轮廓模型图像分割，在回顾活动轮廓模
型发展的基础上，介绍了曲线演化理论及其水平集方法，证明了水平集方法可以
有稳定的数值实现方式且其处理拓扑变化的自然性，进一步引出了变分水平集方
法。
本文介绍了两种不同的几何活动轮廓模型：基于梯度信息的李纯明模型以及
基于区域信息的 Chan-Vese 模型（C-V 模型）。在分析上述两模型的优缺点上，提
出了一种改进的 C-V 模型，改进模型引入了距离约束项，同时对基于区域的外部
能量项进行了改进，
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Active Contour (or Snake) Model is recognized as one of the efficient tools for 2D/3D image segmentation. How- ever, traditional snake models prove to be limited in sev- eral aspects. The presentpaper describes a set of difision equations applied ro
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Segmentation of structure in medical images is an important research
topic. It has applications in patient diagnoses, image-guided
surgery, and medical data visualization. One approach to solving this
problem is the use of active contours or \s
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Segmentation of structure in medical images is an important research
topic. It has applications in patient diagnoses, image-guided
surgery, and medical data visualization. One approach to solving this
problem is the use of active contours or \s
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主动轮廓模型，即snake算法的demo-active contour models, snake algorithm demo
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基于局部区域的主动轮廓模型.主要考虑了区域信息。-Active contour models based on local area mainly considering regional information.
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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.
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寄语活动轮廓模型的双向气球力的膨胀或者收缩的snake模型的算法程序-Expansion algorithm based on two-way active contour models balloon force or shrink snake model
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CLASSIC PAPER FOR SNAKES: ACTIVE CONTOUR MODELS.
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Snakes: Active Contour Models
by Ritwik Kumar ,02 Jul 2010
Implements snakes or active contour models for image segmentation
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用C++编写的实现GVF的活动轮廓模型的提取，值得你参考-Extracted with implementations written in C++ GVF active contour models, it is worth your reference
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A Short Guide on a Fast Global Minimization Algorithm for Active Contour Models文章代码基于MATLAB-A Short Guide on a Fast Global Minimization Algorithm for Active Contour Models
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GAC 侧地线主动轮廓模型 感觉挺全的了 上传上来分享下-GAC side of the ground feeling very active contour models upload up to share the whole of the next
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主要是关于医学图像处理，采用的方法是C-V模型，及半隐式轮廓活动模型，取得了较好的效果-Mainly on the medical image processing, the method uses a CV model, and semi-implicit active contour models, and achieved good results
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【高斯核函数改进 参考价值1】LBF活动轮廓模型的改进.pdf【高斯核函数的改进 参考价值5】单核和多核相关向量机的比较研究.pdf-[Gaussian kernel improved reference value 1] .pdf LBF improved active contour models comparative study [.pdf Gaussian kernel improvements reference 5] single and multi-core related ve
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有详实的说明，基于C-V模型的图像分割，属于活动轮廓模型，有典型的图片例子，可以直接运行，适合研究生使用。-There are detailed instructions, CV model-based image segmentation, are active contour models, with typical picture examples can be run directly, for graduate students to use.
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Active Contour Models and Level Set algorithm, as well as several articles of the GVF, the list for the article: [1] Snakes Active Contour Models.pdf [2] Multiscale Active Contours.pdf [3] Snakes, shapes, and gradient vector flow.pdf [4] Motion of le
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Active Contour Models and Level Set algorithm, as well as several articles of the GVF, the list for the article: [1] Snakes Active Contour Models.pdf [2] Multiscale Active Contours.pdf [3] Snakes, shapes, and gradient vector flow.pdf [4] Motion of l
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Snakes Active Contour Models.pdf [2] Multiscale Active Contours.pdf [3] Snakes, shapes, and gradient vector flow.pdf [4] Motion of level sets by mean curvature I.pdf
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