Geodesic graph cut for interactive image segmentation

@article{Price2010GeodesicGC,
  title={Geodesic graph cut for interactive image segmentation},
  author={Brian L. Price and Bryan S. Morse and Scott Cohen},
  journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  year={2010},
  pages={3161-3168}
}
Interactive segmentation is useful for selecting objects of interest in images and continues to be a topic of much study. Methods that grow regions from foreground/background seeds, such as the recent geodesic segmentation approach, avoid the boundary-length bias of graph-cut methods but have their own bias towards minimizing paths to the seeds, resulting in increased sensitivity to seed placement. The lack of edge modeling in geodesic or similar approaches limits their ability to precisely… CONTINUE READING

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