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This code implements the well-known Chan-Vese segmentation algorithm from the paper \"Active Contours Without Edges.\"
This technique deforms an initial curve so that it separates foreground from background based on the means of the two regions.
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Active Contours Without Edges
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Tony Chan和Luminita Vese关于《Active Contours without Edges》一文的ppt-Tony Chan and Luminita Vese on " Active Contours without Edges" a text of the ppt
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This paper is to solve the image segmentation
problem: given an image, we seek to detect the shape of the objects in it.
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a model for active contours
to detect objects in a given image, based on techniques of
curve evolution, Mumford–Shah functional for segmentation and
level sets.Related paper:Active Contours Without Edges
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基于区域的主动轮廓模型算法,是论文《Active Contours Without Edges》的VC算法实现-Region-based active contour model algorithm, for the paper " Active Contours Without Edges" of the VC algorithm
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// "Active Contours Without Edges" image segmentation
// Program by Pascal Getreuer 2007
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一种基于matlab的,图像分割的SNAKE算法。包括算法程序与实例-Based on the matlab, image segmentation SNAKE algorithm. Including the algorithm and examples
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实现论文 Active Contours without Edges 中提出的CV活动轮廓模型,用于分割图像。-To achieve paper Active Contours without Edges, in the CV active contour model for image segmentation.
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无初始边界的蛇模型算法,可以用于影像的边缘提取-No initial boundary snake model algorithm that can be used to extract the edge of the image
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采用ITK实现水平集算法,不需要边界信息,内附参考论文-Level Set Segmentation: Active Contours
Without Edges
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这个版本的代码,基于无边缘活动轮廓,即chan-vese模型,此代码中包含了C++版本和matlab版本-This version of the code, based on active contours without edges, that chan-vese model, this code contains C++ version and matlab version
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