Interactive image segmentation via kernel propagation

@article{Zhang2014InteractiveIS,
  title={Interactive image segmentation via kernel propagation},
  author={Zhendong Zhang and Meng Jian and Juan Liu and Licheng Jiao and Yanbo Shen},
  journal={Pattern Recognition},
  year={2014},
  volume={47},
  pages={2745-2755}
}
In this paper, we propose a new approach to interactive image segmentation via kernel propagation (KP), called KP Cut. The key to success in interactive image segmentation is to preserve characteristics of the user's interactive input and maintain data-coherence effectively. To achieve this, we employ KP which is very effective in propagating the given supervised information into the entire data set. KP first learns a small-size seed-kernel matrix, and then propagates it into a large-size full… CONTINUE READING

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