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This Matlab code implements an edge based geometric active contour model without reinitialization.
MATLAB Release: R13SP1
This Matlab code implements the level set method in Chunming Li et al s paper \"Level Set Evolution without Re-initia
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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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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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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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这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF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 the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF mod
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图像识别的MATLAB代码，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。-Matlab source code of image recognition, including face recognition and iris recognition, iris position in the digital image in an eff
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水平集方法图像处理窄带技术Matlab代码实现-Narrow band level set method image processing technology Matlab code
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新发表论文Graph cuts based active contour model with selective local or global segmentation 附源码，基于图割的主动轮廓模型，用于有选择的局部分割或全局分割，欢迎下载！-Published Graph cuts based active the contour the model with selective local or global a segmentation attached source, the ac
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is Matlab code implements a new level set formulation, called distance regularized level set evolution (DRLSE), proposed by Chunming Li et al s in the paper "Distance Regularized Level Set Evolution and its Application to Image Segmentation", IEEE Tr
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水平集方法是一种先进的图像分割方法。这个matlab代码演示了一个基于边缘的活动轮廓模型，是下面一篇带距离正则化的水平集方程论文的应用：
C. Li, C. Xu, C. Gui, M. D. Fox, Distance Regularized Level Set Evolution and Its Application to Image Segmentation , IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254,
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this is a simple matlab code of paper Active Contours without Edeges for Vector-Valued Images proposed by TonyF.Chan 1999, it included two test piture and test result(this is a simple matlab code of paper Active Contours without Edeges for Vector-V
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