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Intelligent Segmentation Tools

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Permanent URL	http://hdl.lib.byu.edu/1877/2618
Title	Intelligent Segmentation Tools
BYU Creator	Barrett, William A. Mortensen, Eric N. Reese, L. Jack
Keywords	image segmentation; toboganning; reproducibility; intelligent paint; intelligent scissors
Description/Abstract	Intelligent Scissors and Intelligent Paint are complementary interactive image segmentation tools that allow a user to quickly and accurately select objects of interest using simple gesture motions with a mouse. With Intelligent Scissors. when the cursor position comes in proximity to an object edge, a live-wire boundary “snaps” to, and wraps around the object of interest. The Intelligent Paint tool uses the cursor position to sample the image data interior to the object and grows the current region, in discrete, snapping increments, to include similar neighboring regions. Both techniques make use of a watershed algorithm called toboganning. Wth Intelligent Scissors, image segmentation is formulated as a piece-wise globally optimal graph searching problem, while Intelligent Paint approaches it as an adaptive, cost-ordered connected component labelling scheme. Using these tools, objects or regions can be selected in a few seconds, with better accuracy and reproducibility than can be obtained using manual selection tools. In particular; interobserver reproduciblity using intelligent segmentation tools is far better than intraobserver reproducibility using manual segmentation methods.
Source	W. A. Barrett, L. J. Reese, and E. N. Mortensen. "Intelligent Segmentation Tools" IEEE International Symposium on Biomedical Imaging, pp. 217-220, July, 2002.;
Publisher	IEEE
Date Original	2002-07
Date Digital	2010-10-26
Language	English eng en
Publication Type	Articles
Type	Text
Format	application/pdf
Owning Institution	Brigham Young University
BYU College	College of Physical and Mathematical Sciences
BYU Department	Computer Science
Copyright Status	(c) 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.;
Copyright Use Information	http://www.lib.byu.edu/generic_copyright.html

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