搜索资源列表
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Snake模型，也就是常说得Active Contour模型的MATLAB实现，其中还包含了原文献。-Snake model, which is often put Active Contour MATLAB model, it also includes the original literature.
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比较新颖的图像分割算法，GPAC（Graph partitioning active contours ）算法-Graph partitioning active contours for image segmentation
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这是“An efficientlocalChan–Vesemodelforimagesegmentation”（简称LCV模型）的MATLAB源代码。LCV模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is "An efficientlocalChan-Vesemodelforimagesegmentation" (referred to as the LCV model) of the MATLA
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国外课件：Active shape model 和 active contour model(snake)的matlab 原码，包括PDF格式的程序使用说明-Foreign courseware: Active shape model and active contour model (snake) in the matlab source, including the PDF format of the program instructions
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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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2005年学习图像分割算法过程中活动轮廓方法的对比DEMO，很有启发-2005 image segmentation algorithm to learn the process of active contour methods contrast DEMO, very enlightening
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本程序采用半隐式方案实现变分水平集图像分割方法中的“C-V”模型(Active contour without edge)-This procedure used the program to achieve semi-implicit variational level set image segmentation methods in the
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Region based Active Contour的Matlab实现代码。很经典的方法-Region based Active Contour of Matlab code. Classic method
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Chan 和Vese 两位专家建立的水平集模型无梯度主动轮廓水平集算法，图像分割的良好入门程序:)
-Chan and Vese, two experts establish the level set model gradientless level set active contour algorithms, image segmentation process a good entry:)
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Active contour models, deformable surface models,
edge detection, gradient vector flow, image segmentation,
shape representation and recovery, snakes.-Active contour models, deformable surface models, edge detection, gradient vector flow, image s
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Good source code that is written in matlab about active contour.
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Region Based Active Contour Segmentation：基于活动轮廓的图像分割算法，ＭＡＴＬＡＢ代码，可用于目标提取，包括实验图片-Region Based Active Contour Segmentation: Active Contour-based image segmentation algorithm, MATLAB code, and can be used for object extraction, including the experimental
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Active Contour without Edges Matlab Code 李春明版 一种新的水平集方法由Chunming Li教授开发-Active Contour without Edges Matlab Code
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图像识别，包括人脸识别和虹膜识别，在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。-Image recognition, including face recognition and iris recognition, iris position in the digital image of the iris recognition and effective po
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这是一个基于活动轮廓模型的快速全局最小算法的matlab实现程序，对学习现代图像处理有一定帮助。-This is an active contour model based on the rapid global minimum algorithm matlab implementation process of learning in modern image processing have some help.
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实现水平集模型C-V的代码。active contour without edges.-matlab code of active contour without edges.
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李纯明最新实现的局部活动轮廓模型的图像分割，比CV模型方法好很多。包含所实现的论文Minimization of Region-Scalable Fitting Energy for Image Segmentation-Li Chunming latest realization of the local active contour model for image segmentation, much better than the CV model approach. The paper
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主动轮廓跟踪的matlab GUI显示，对于学习GUI很有帮助。-Active contour tracking matlab GUI display, helpful for learning GUI.
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利用active contour的图像分割matlab实现-The use of active contour image segmentation matlab achieve
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参数活动轮廓模型实现的轮廓逼近，开发环境matlab-Contour parametric active contour model implementation approach, the development environment matlab
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