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The Swendsen-Wang Cuts algorithm is used to label atomic regions (superpixels) based on their intensity patterns using generative models in a Bayesian framework. The prior is based on areas of connected components, which provides a clean segmentation
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基于四叉树与图割的遥感图像分割方法，关于四叉树和图割的应用-Quadtree-based remote sensing image and graph cuts segmentation method, on the quad tree and the application of graph cuts
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基于matlab的一个算法主要是进行图割可以把一张图像按某些特征分割-Based on a matlab algorithm is mainly carried out by graph cut to an image according to the certain feature segmentation
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GRABCUTOpenCV中的GrabCut算法是依据《"GrabCut" - Interactive Foreground Extraction using Iterated Graph Cuts》这篇文章来实现的。该算法利用了图像中的纹理（颜色）信息和边界（反差）信息，只要少量的用户交互操作即可得到比较好的分割结果。如果前景和背景之间的颜色反差不大，分割的效果不好；不过，这种情况下允许手工标记一些前景或背景区域，这样能得到较好的结果。-GRABCUTOpenCV in GrabCut alg
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Connected-component labeling (alternatively connected-component analysis, blob extraction, region labeling, blob discovery, or region extraction) is an algorithmic application of graph theory, where subsets of connected components are uniquely labele
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基于图理论动态规划算法的OCT图像边界分割算法，边界提取效果好(OCT image boundary segmentation algorithm based on graph theory and dynamic programming algorithm, the boundary extraction effect is good)
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图割和水平集的图像分割，效果明显。多种方法对比(Image segmentation based on graph cut and level set)
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METIS是由Karypis Lab开发的一个具有强大功能的图切分软件包。准确来说，METIS是一个串行图切分的软件包，Karypis Lab还提供了并行版的图切分软件包parMETIS和支持超图和电路划分的hMETIS。METIS的算法设计主要基于多层次递归二分切分法、多层次K路切分法以及多约束划分机制。用户使用METIS软件包时，可以根据需要选择相应的切分方式(METIS was developed by Karypis Lab with a powerful image segmentat
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