Keywords
image segmentation, toboganning, reproducibility, intelligent paint, intelligent scissors
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.
Original Publication Citation
W. A. Barrett, L. J. Reese, and E. N. Mortensen. "Intelligent Segmentation Tools," IEEE International Symposium on Biomedical Imaging, pp. 217-22, July, 22.
BYU ScholarsArchive Citation
Barrett, William A.; Mortensen, Eric N.; and Reese, L. Jack, "Intelligent Segmentation Tools" (2002). Faculty Publications. 539.
https://scholarsarchive.byu.edu/facpub/539
Document Type
Peer-Reviewed Article
Publication Date
2002-07-01
Permanent URL
http://hdl.lib.byu.edu/1877/2618
Publisher
IEEE
Language
English
College
Physical and Mathematical Sciences
Department
Computer Science
Copyright Status
© 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://lib.byu.edu/about/copyright/