There are cases where we want to separate an object from other parts of a scene; in other words, where we want to create masks for the foreground and background. This job is tackled by the GrabCut algorithm. It can build object masks in semi-automatic mode. All that it needs are initial assumptions about object location. Based on these assumptions, the algorithm performs a multi-step iterative procedure to model statistical distributions of foreground and background pixels and find the best division according to the distributions. This sounds complicated, but the usage is very simple. Let's find out how easily we can apply this sophisticated algorithm in OpenCV.
Obtaining an object mask using the GrabCut algorithm
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