搜索资源列表
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基于图方法的图像分割C++源码，详细内容参见Efficient Graph-Based Image Segmentation一文。-graph-based methods of image segmentation C source code, See details Efficient Graph - Based Image Segmentat ion a text.
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基于opencv框架下的graph cuts算法实现,Opencv based on the framework of graph cuts algorithm
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基于OpenCV开发的基于图论的快速图像分割方法，可以选择分割使用的彩色空间，可以设置参数。,effcient graph-based image segmentation on different color spaces programmed on OpenCV.
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graphcut 图像分割经典论文 英文版-graphcut image segmentation classic paper in English
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基于活动轮廓模型的图割算法，实现图像的高效分割！非常好的代码。希望帮助大家！-Graph cuts based active contours which is used for image segmentation.Excellent source code!
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MICCAI2008脑影像分割文章，包括Interactive Liver Tumor Segmentation using Graph-cut and watershed等-Brain image segmentation MICCAI2008 articles, including the Interactive Liver Tumor Segmentation using Graph-cut and watershed, etc.
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一个基于图形的高效图像分割算法，包括论文及相应的源代码。-This paper addresses the problem of segmenting an image into regions. We define a predicate for
measuring the evidence for a boundary between two regions using a graph-based representation of the image. We
then develo
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这是基于图论的图像分割源代码，效果很好，欢迎下载.-This is based on graph theory image segmentation source code, works well, welcome to download.
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这个代码是文章Efficient Graph-Based Image Segmentation的实现，结合了vs2008和opencv，该算法进行分割，速度很快，效果不错。-The source code is an implementation of the paper: Efficient Graph-Based Image Segmentation. VS2008 and Opencv are combined in the implementation process.
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Graph Cuts是一个图像分割方法，具有交互式分割，分割效果很好。-Graph Cuts is an image segmentation method, with interactive segmentation, segmentation works well.
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波士顿大学Leo Grady的图论分割MatLAB源码，用过的没问题。为开通帐号，多年的珍藏啊，贡献了！-MatLAB code of graph segmentation by Leo Grady in Boston University.
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基于图论的高效图像分割方法，比NCut算法的效率更高，效果更好-Based on Graph Theory and efficient image segmentation method, an algorithm NCut more efficient, better
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（转）vc 的 图像分割
命令行 格式：
segment 0.5 300 50 17.ppm 17out.ppm-(Transgenic) vc the command-line format for image segmentation: segment 0.5 300 50 17.ppm 17out.ppm
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an example using graph cut c++ code for graph analysis
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多尺度的光谱图像分割，有对应的论文和matlab及c++代码-Multiscale spectral image segmentation, there are papers and the corresponding matlab and c++ code
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基于图论的图像分割，使用区域之间和区域内部进行比较的准则，对于风景图片效果不错。-Graph-based image segmentation, using the region based comparison criteria, good for scene images.
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survey of graph cut(for image segmentation
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为了提高算法的执行效率, 应用粒子群算法求取图像中任意两点间最短路径来定位目标边界, 并与经典的基于Dijkstra 动态规划图搜索的Liv e Wire 算法进行比较.-In order to improve the efficiency of the algorithm, particle swarm algorithm to strike any of images to locate the shortest path between two object boundaries, and
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五种当前主要的基于图的图像分割方法（normalized cut, min-cut/max-flow, isoperimetric partitioning, minimum spanning tree and random walker）的论文原文。-The original papers of five main graph-based image segmentation methods. They are normalized cut, min-cut/max-flow, isoperi
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applies normalized cut on graph obtained from image and segment the image into specified number of regions.
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