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这个c程序实现几种2D和3D分割算法,这些算法可以参考下面这篇论文,程序的运行请查看README.txt-Camille Couprie, Leo Grady, Laurent Najman and Hugues Talbot , "Power Watersheds: A New Image Segmentation Framework Extending Graph Cuts, Random Walker and Optimal Spanning Forest", ICCV 09, 2009
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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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马尔可夫随机场的图像分割,本人整理的代码和论文-Markov random field image segmentation, I am finishing the code and papers
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下面这个论文描述的分割算法的实现:
Efficient Graph-Based Image Segmentation
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer Vision, 59(2) September 2004.
这个程序使用彩色图像(PPM格式)并为产生的分割结果的每个区域随机分配颜色。-Implementation of the seg
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