A summary of geometric level-set analogues for a general class of parametric active contour and surface models

Chenyang Xu, A. Yezzi, J. L. Prince

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Scopus citations

Abstract

Geometric active contours (GAC) and surfaces (GAS) implemented via level set techniques enjoy many advantages over parametric active contours (PAC) and surfaces (PAS), such as computational stability and the ability to change topology during deformation. While many capabilities of earlier PAC and PAS have been reproduced by various GAC and GAS, and while relationships have been discussed for a variety of specific cases, a comprehensive accounting of the connections between these two worlds (particularly regarding rigid forces) has not been consolidated thus far. We present the precise mathematical relationships between the two for an extensive family of both active contour and surface models, encompassing spatially varying coefficients, both tension and rigidity, and both conservative and non-conservative external forces. The result is a very general geometric formulation for which the intuitive design principles of PAC and PAS can be applied. We also point out which type of PAC and PAS methodologies cannot be adapted to the geometric level set framework. We conclude by demonstrating several geometric adaptations of specific PAC and PAS in several simulations.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE Workshop on Variational and Level Set Methods in Computer Vision, VLSM 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages104-111
Number of pages8
ISBN (Electronic)076951278X, 9780769512785
DOIs
StatePublished - 2001
EventIEEE Workshop on Variational and Level Set Methods in Computer Vision, VLSM 2001 - Vancouver, Canada
Duration: Jul 13 2001 → …

Publication series

NameProceedings - IEEE Workshop on Variational and Level Set Methods in Computer Vision, VLSM 2001

Other

OtherIEEE Workshop on Variational and Level Set Methods in Computer Vision, VLSM 2001
Country/TerritoryCanada
CityVancouver
Period7/13/01 → …

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition

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