Toboggan-Based Intelligent Scissors with a Four-Parameter Edge Model

Mortensen, Eric N.; Barrett, William A.

doi:10.1109/CVPR.1999.784720

Toboggan-Based Intelligent Scissors with a Four-Parameter Edge Model

Eric N. Mortensen, William A. Barrett

CVPR 1999 pp. 2452-2458

doi:10.1109/CVPR.1999.784720 /cvpr/1999/mortensen1999cvpr-toboggan/

Abstract

Intelligent Scissors is an interactive image segmentation tool that allows a user to select piece-wise globally optimal contour segments that correspond to a desired object boundary. We present a new and faster method of computing the optimal path by over-segmenting the image using tobogganing and then imposing a weighted planar graph on top of the resulting region boundaries. The resulting region-based graph is many times smaller than the previous pixel-based graph, thus providing faster graph searches and immediate user interaction. Further, tobogganing provides an new systematic and predictable framework for computing edge model parameters, allowing subpixel localization as well as a measure of edge blur.

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Cite

Text

Mortensen and Barrett. "Toboggan-Based Intelligent Scissors with a Four-Parameter Edge Model." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999. doi:10.1109/CVPR.1999.784720

Markdown

[Mortensen and Barrett. "Toboggan-Based Intelligent Scissors with a Four-Parameter Edge Model." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999.](https://mlanthology.org/cvpr/1999/mortensen1999cvpr-toboggan/) doi:10.1109/CVPR.1999.784720

BibTeX

@inproceedings{mortensen1999cvpr-toboggan,
  title     = {{Toboggan-Based Intelligent Scissors with a Four-Parameter Edge Model}},
  author    = {Mortensen, Eric N. and Barrett, William A.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1999},
  pages     = {2452-2458},
  doi       = {10.1109/CVPR.1999.784720},
  url       = {https://mlanthology.org/cvpr/1999/mortensen1999cvpr-toboggan/}
}