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ASETS/asetsMatlabMaxFlow: Matlab implementation of continuous max flow variants

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

ASETS/asetsMatlabMaxFlow

开源软件地址(OpenSource Url):

https://github.com/ASETS/asetsMatlabMaxFlow

开源编程语言(OpenSource Language):

MATLAB 62.1%

开源软件介绍(OpenSource Introduction):

ASETS Matlab repository

License:

BSD (see license.md)

Developers:

  • Martin Rajchl (@mrajchl), Imperial College London (UK)
  • John SH. Baxter (@jshbaxter), Robarts Research Institute (CAN)
  • Jing Yuan, Robarts Research Institute (CAN)

Features:

  • Fast parallel continuous max flow solvers in 2D/3D

    • Binary max flow
    • Multi-region (Potts model, Ishikawa model, Hierarchical Max Flow)
    • In two different implementations (full flow and pseudo flow solvers)
  • Implemented in multiple languages

    • Matlab/mex/C
    • Matlab/CUDA
  • Tutorials

    • T01 Binary graph cuts
    • T02 Multi-region color image segmentation with the Potts model
    • T03 Using different max flow implementations (Matlab, C, CUDA)
  • Application examples for (medical) image segmentation:

    • Interactive max flow graph cuts (3D)
    • Regularization of probabilistic label maps as in atlas-based segmentation (3D)
    • High-performance multi-phase levelsets (3D)
    • Post-processing of flawed manual segmentations with constrast sensitive regularization (2D)
    • L1 intensity segmentation (2D)

Overview of folder structure:

./: Compile scripts, readme, license and todo list
./applications: Contains examples of typical applications in image segmentation and analysis
./data: Example data to run the applications
./lib: Is created by compile.m and contains the compiled C/mex files
./maxflow: Optimization code in C/mex and Matlab
./tests: Test scripts to compare different implementations against each other
./tutorials: Contains available tutorials

Compile/Installation instructions:

To compile the C/mex code run:

compile.m

which creates the folder ./lib. For testing purposes run any script in ./tests.

Tests:

  • Matlab 2014a, 64-bit Linux (Ubuntu 12.04 LTS)
  • Matlab 2015a, 64-bit Windows 7
  • Matlab 2012a, 32-bit WinXP



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