Description: Boykov GraphCut
As applied in the field of computer vision, graph cuts can be employed to efficiently solve a wide variety of low-level computer vision problems , such as image smoothing, the stereo correspondence problem, image segmentation, and many other computer vision problems that can be formulated in terms of energy minimization.
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File list (Check if you may need any files):
Labeling
Labeling\block.h
Labeling\energy.h
Labeling\example.cpp
Labeling\GCoptimization.cpp
Labeling\GCoptimization.h
Labeling\GCO_README.TXT
Labeling\graph.cpp
Labeling\graph.h
Labeling\LinkedBlockList.cpp
Labeling\LinkedBlockList.h
Labeling\matlab
Labeling\matlab\GCO_BuildLib.m
Labeling\matlab\GCO_ComputeEnergy.m
Labeling\matlab\GCO_Create.m
Labeling\matlab\GCO_Delete.m
Labeling\matlab\GCO_ExpandOnAlpha.m
Labeling\matlab\GCO_Expansion.m
Labeling\matlab\GCO_GetLabeling.m
Labeling\matlab\GCO_ListHandles.m
Labeling\matlab\GCO_LoadLib.m
Labeling\matlab\gco_matlab.cpp
Labeling\matlab\GCO_SetDataCost.m
Labeling\matlab\GCO_SetLabelCost.m
Labeling\matlab\GCO_SetLabeling.m
Labeling\matlab\GCO_SetLabelOrder.m
Labeling\matlab\GCO_SetNeighbors.m
Labeling\matlab\GCO_SetSmoothCost.m
Labeling\matlab\GCO_SetVerbosity.m
Labeling\matlab\GCO_Swap.m
Labeling\matlab\GCO_UnitTest.m
Labeling\matlab\README.TXT
Labeling\maxflow.cpp
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