Tracking Monotonically Advancing Boundaries in Image Sequences Using Graph Cuts and Recursive Kernel Shape Priors

@article{Chang2012TrackingMA,
  title={Tracking Monotonically Advancing Boundaries in Image Sequences Using Graph Cuts and Recursive Kernel Shape Priors},
  author={Joshua C. Chang and K. C. Brennan and Tom Chou},
  journal={IEEE Transactions on Medical Imaging},
  year={2012},
  volume={31},
  pages={1008-1020}
}
We introduce a probabilistic computer vision technique to track monotonically advancing boundaries of objects within image sequences. Our method incorporates a novel technique for including statistical prior shape information into graph-cut based segmentation, with the aid of a majorization-minimization algorithm. Extension of segmentation from single images to image sequences then follows naturally using sequential Bayesian estimation. Our methodology is applied to two unrelated sets of real… CONTINUE READING

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