Keywords
active contour, tracking, parametric, implicit
Abstract
We present a new constraint-based implicit active contour, which shares desirable properties of both parametric and implicit active contours. Like parametric approaches, their representation is compact and can be manipulated interactively. Like other implicit approaches, they can naturally adapt to non-simple topologies. Unlike implicit approaches using level-set methods, representation of the contour does not require a dense mesh. Instead, it is based on specified on-curve and off-curve constraints, which are interpolated using radial basis functions. These constraints are evolved according to specified forces drawn from the relevant literature of both parametric and implicit approaches. This new type of active contour is demonstrated through synthetic images, photographs, and medical images with both simple and non-simple topologies. For complex input, this approach produces results comparable to those of level set or parameterized finite-element active models, but with a compact analytic representation. As with other active contours they can also be used for tracking, especially for multiple objects that split or merge.
Original Publication Citation
B. S. Morse, W. Liu, T. S. Yoo, and K. Subramanian, "Active contours using a constraint-based implicit representation," in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 285-292, IEEE Computer Society Press, June 25.
BYU ScholarsArchive Citation
Liu, Weiming; Morse, Bryan S.; Subramanian, Kalpathi; and Yoo, Terry S., "Active Contours Using a Constraint-Based Implicit Representation" (2005). Faculty Publications. 376.
https://scholarsarchive.byu.edu/facpub/376
Document Type
Peer-Reviewed Article
Publication Date
2005-06-01
Permanent URL
http://hdl.lib.byu.edu/1877/2468
Publisher
IEEE
Language
English
College
Physical and Mathematical Sciences
Department
Computer Science
Copyright Status
© 2005 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
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