DocumentCode
2593823
Title
A fast algorithm for active contours
Author
Williams, Donna J. ; Shah, Mubarak
Author_Institution
Stetson Univ., DeLand, FL, USA
fYear
1990
fDate
4-7 Dec 1990
Firstpage
592
Lastpage
595
Abstract
A method of controlling snakes that combines speed, flexibility, and simplicity is presented. It is compared to the original variational calculus method of M. Kass et al. (1987) and the dynamic programming method developed by A.A. Amini et al. (1988) and found to be comparable in final results, while being faster than dynamic programming and more stable and flexible for including hard constraints than the variational calculus approach. The introduction of the concept of curvature highlights the problem of how to approximate curvature when a curve is represented by a set of discrete points. The advantages and disadvantages of a number of different approximations of curvature are pointed out
Keywords
computer vision; computerised pattern recognition; computerised picture processing; dynamic programming; variational techniques; active contours; approximations; curve; dynamic programming; fast algorithm; flexibility; simplicity; snakes; speed; variational calculus; Active contours; Calculus; Dynamic programming; Feedback; Greedy algorithms; Heuristic algorithms; Spline;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location
Osaka
Print_ISBN
0-8186-2057-9
Type
conf
DOI
10.1109/ICCV.1990.139602
Filename
139602
Link To Document