image segmentation, tobogganing, edge model parameters
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.
Original Publication Citation
Eric Mortensen and William Barrett. "Toboggan-Based Intelligent Scissors with a Four-Parameter Edge Model," IEEE/CVPR99 Proceedings, pp. 452-458, June, 1999.
BYU ScholarsArchive Citation
Barrett, William A. and Mortensen, Eric N., "Toboggan-Based Intelligent Scissors with a Four-Parameter Edge Model" (1999). All Faculty Publications. 616.
Physical and Mathematical Sciences
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