Fast Geodesic Active Contours
Fast Geodesic Active Contours.
IEEE Transactions on Image Processing, 10(10):1467, 2001
Online Version
A pdf version is available for download.
Abstract
We use an unconditionally stable numerical scheme to implement a fast version of the geodesic active contour model. The proposed scheme is useful for object segmentation in images, like tracking moving objects in a sequence of images. The method is based on the Weickert–Romeney–Viergever (additive operator splitting) AOS scheme. It is applied at small regions, motivated by Adalsteinsson-Sethian level set narrow band approach, and uses Sethian's fast marching method for re-initialization. Experimental results demonstrate the power of the new method for tracking in color movies.
Keywords
- Object Recognition,
- Image Analysis,
- Mathematical Models,
- Partial Differential Equations,
- Set Theory,
- Convergence of Numerical Methods.
Co-authors
Bibtex Entry
@article{GoldenbergKRR01a,
title = {Fast Geodesic Active Contours.},
author = {Roman Goldenberg and Ron Kimmel and Ehud Rivlin and Michael Rudzsky},
year = {2001},
journal = {IEEE Transactions on Image Processing},
volume = {10},
number = {10},
pages = {1467},
keywords = {Object recognition; Image analysis; Mathematical models; Partial differential equations; Set theory; Convergence of numerical methods},
abstract = {We use an unconditionally stable numerical scheme to implement a fast version of the geodesic active contour model. The proposed scheme is useful for object segmentation in images, like tracking moving objects in a sequence of images. The method is based on the Weickert–Romeney–Viergever (additive operator splitting) AOS scheme. It is applied at small regions, motivated by Adalsteinsson-Sethian level set narrow band approach, and uses Sethian's fast marching method for re-initialization. Experimental results demonstrate the power of the new method for tracking in color movies.}
}