MATLAB工具箱大全-图像分割graphcut工具箱

使用matlab实现了graphcut算法，适合初学者学习使用

graphcut用于图像分割的matlab代码

Graphcut-源码及实现，基于opencv实现。可直接运行，其中鼠标左右键分别用于选择正、负种子点。

Boykov的经典的Labeling算法，用于GraphCut。 To use this software, YOU MUST CITE the following in any resulting publication: [1] Efficient Approximate Energy Minimization via Graph Cuts. Y. Boykov, O. Veksler, R.Zabih. IEEE TPAMI, 20(12):1222-1239, Nov 2001. [2] What Energy Functions can be Minimized via Graph Cuts? V. Kolmogorov, R.Zabih. IEEE TPAMI, 26(2):147-159, Feb 2004. [3] An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision. Y. Boykov, V. Kolmogorov. IEEE TPAMI, 26(9):1124-1137, Sep 2004. Furthermore, if you use the label cost feature (setLabelCost), you should cite [4] Fast Approximate Energy Minimization with Label Costs. A. Delong, A. Osokin, H. N. Isack, Y. Boykov. In CVPR, June 2010.

牛人Yori Boykov写的关于Graphcut的Matlab程序，完整实例。对学习Graphcuts很有帮助。基于文章

用于求解CRF,GraphCut的源代码，包含C++和matlab,内附程序说明