Description: 最大最小流程序。包括最大流网络,最小费用最大流。算法的一些实现。-Max-min flow procedures. Including the maximum flow network, minimum cost maximum flow. Some of realize algorithm. Platform: |
Size: 110592 |
Author:HuiCong |
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Description: 这是自己用c#写的一段关于图的最小切的算法,主要参考了论文:
《An Experimental Comparison of
Min-Cut/Max-Flow Algorithms for
Energy Minimization in Vision》
此文中的算法是目前比较优秀的最小切算法-This is their use of c# Write a paragraph on the minimum cut graph algorithm, the main reference of the thesis: Platform: |
Size: 3072 |
Author:张曦 |
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Description: 医学图象分割软件,使用了基于Min-Cut/Max-Flow开元方程库(可在http://www.adastral.ucl.ac.uk/~vladkolm/software.html下载最新版本) 做分割判断, 并使用cimg库读取dcm图片. 本部分源码只负责切出轮廓, 轮廓将在openGL端中输出. -Medical image segmentation software, the use of equations based on the Kaiyuan Min-Cut/Max-Flow library (available at http://www.adastral.ucl.ac.uk/ ~ vladkolm/software.html download the latest version) to do partition to judge, and use the library to read CIMG DCM picture. The source code is only responsible for part of the contour cut, contour in openGL output side. Platform: |
Size: 166912 |
Author:zhou |
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Description: 实现了An Experimental Comparison of
Min-Cut/Max-Flow Algorithms for
Energy Minimization in Vision
[Yuri Boykov and Vladimir Kolmogorov]中的新的最大流算法,经过实验验证比传统的最大流算法效率更高-Achieved An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision [Yuri Boykov and Vladimir Kolmogorov] in the new maximum flow algorithm, after experimental verification than the traditional maximum flow algorithm more efficient Platform: |
Size: 1024 |
Author:ray |
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Description: An Experimental Comparison of
Min-Cut/Max-Flow Algorithms for
Energy Minimization in Vision Platform: |
Size: 586752 |
Author:pucho |
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Description: 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, isoperimetric partitioning, minimum spanning tree and random walker. Platform: |
Size: 7720960 |
Author:zc |
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Description: graphcut应用 Global optimisation via s-t graph cuts is widely used in
computer vision and graphics. To obtain high-resolution
output, graph cut methods must construct massive N-D
grid-graphs containing billions of vertices. We show that
when these graphs do not fit into physical memory, current
max-flow/min-cut algorithms—-A Scalable Graph-Cut Algorithm for N-D Grids Platform: |
Size: 26624 |
Author:hahaha |
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Description: 快速图割算法,计算平面图的最大流最小割计算平面图的最大流最小割-The PlanarCut-v1.0 library computes max-flow/min-s-t-cut on planar graphs. It implements an efficient algorithm, which has almost linear running time. The library also provides for several easy-to-use interfaces in order to define planar graphs that are common in computer vision applications. Platform: |
Size: 592896 |
Author:liuwei |
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Description: 适用于大型网格图的最大流最小割算法,适合初学者-The regionpushrelabel-v1.03 library computes max-flow/min-cut on huge N-dimensional grid-graphs in graphics, vision, and medical imaging. The C++ implementation is designed specifically for multi-core systems and graphs larger than available memory. Besides nearest-neighbour graphs, the library also supports more complex regular structures to speed up things like QPBO, cell complexes, and Ishikawa-like constructions. The public implementation was developed by Sameh Khamis who is now at the University of Maryland.
Platform: |
Size: 27648 |
Author:liuwei |
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Description: Network information theory aims to establish the fundamental limits on information flow
in networks and the optimal coding schemes that achieve these limits. It extends Shannon’s
fundamental theorems on point-to-point communication and the Ford–Fulkerson
max-flow min-cut theoremfor graphical unicast networks to general networks withmultiple
sources and destinations and shared resources. Although the theory is far fromcomplete,
many elegant results and techniques have been developed over the past forty years
with potential applications in real-world networks. This book presents these results in a
coherent and simplified manner that should make the subject accessible to graduate students
and researchers in electrical engineering, computer science, statistics, and related
fields, as well as to researchers and practitioners in industry. Platform: |
Size: 3757056 |
Author:zaman |
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