"GrabCut": interactive foreground extraction using iterated graph cuts

@inproceedings{Rother2004GrabCutIF,
  title={"GrabCut": interactive foreground extraction using iterated graph cuts},
  author={Carsten Rother and Vladimir Kolmogorov and Andrew Blake},
  booktitle={SIGGRAPH '04},
  year={2004}
}
The problem of efficient, interactive foreground/background segmentation in still images is of great practical importance in image editing. Classical image segmentation tools use either texture (colour) information, e.g. Magic Wand, or edge (contrast) information, e.g. Intelligent Scissors. Recently, an approach based on optimization by graph-cut has been developed which successfully combines both types of information. In this paper we extend the graph-cut approach in three respects. First, we… CONTINUE READING