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Robust active contour segmentation with an efficient global optimizer

Jonas De Vylder UGent, Jan Aelterman UGent and Wilfried Philips UGent (2011) LECTURE NOTES IN COMPUTER SCIENCE. 6915. p.195-206
abstract
Active contours or snakes are widely used for segmentation and tracking. Recently a new active contour model was proposed, combining edge and region information. The method has a convex energy function, thus becoming invariant to the initialization of the active contour. This method is promising, but has no regularization term. Therefore segmentation results of this method are highly dependent of the quality of the images. We propose a new active contour model which also uses region and edge information, but which has an extra regularization term. This work provides an efficient optimization scheme based on Split Bregman for the proposed active contour method. It is experimentally shown that the proposed method has significant better results in the presence of noise and clutter.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
MOTION, TRACKING, SHAPE, Active contours, segmentation, convex optimization, Split Bregman, MODEL
in
LECTURE NOTES IN COMPUTER SCIENCE
Lect. Notes Comput. Sci.
editor
Jean Blanc-Talon, Richard Kleihorst, Wilfried Philips UGent, Dan Popescu and Paul Scheunders
volume
6915
issue title
Advanced concepts for intelligent vision systems
pages
195 - 206
publisher
Springer
place of publication
Berlin, Germany
conference name
13th International conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2011)
conference location
Ghent, Belgium
conference start
2011-08-22
conference end
2011-08-25
Web of Science type
Proceedings Paper
Web of Science id
000306962700018
ISSN
0302-9743
ISBN
9783642236877
DOI
10.1007/978-3-642-23687-7_18
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1226980
handle
http://hdl.handle.net/1854/LU-1226980
date created
2011-05-19 09:38:07
date last changed
2015-06-17 09:34:40
@inproceedings{1226980,
  abstract     = {Active contours or snakes are widely used for segmentation and tracking. Recently a new active contour model was proposed, combining edge and region information. The method has a convex energy function, thus becoming invariant to the initialization of the active contour. This method is promising, but has no regularization term. Therefore segmentation results of this method are highly dependent of the quality of the images. We propose a new active contour model which also uses region and edge information, but which has an extra regularization term. This work provides an efficient optimization scheme based on Split Bregman for the proposed active contour method. It is experimentally shown that the proposed method has significant better results in the presence of noise and clutter.},
  author       = {De Vylder, Jonas and Aelterman, Jan and Philips, Wilfried},
  booktitle    = {LECTURE NOTES IN COMPUTER SCIENCE},
  editor       = {Blanc-Talon, Jean and Kleihorst, Richard and Philips, Wilfried and Popescu, Dan and Scheunders, Paul},
  isbn         = {9783642236877},
  issn         = {0302-9743},
  keyword      = {MOTION,TRACKING,SHAPE,Active contours,segmentation,convex optimization,Split Bregman,MODEL},
  language     = {eng},
  location     = {Ghent, Belgium},
  pages        = {195--206},
  publisher    = {Springer},
  title        = {Robust active contour segmentation with an efficient global optimizer},
  url          = {http://dx.doi.org/10.1007/978-3-642-23687-7\_18},
  volume       = {6915},
  year         = {2011},
}

Chicago
De Vylder, Jonas, Jan Aelterman, and Wilfried Philips. 2011. “Robust Active Contour Segmentation with an Efficient Global Optimizer.” In Lecture Notes in Computer Science, ed. Jean Blanc-Talon, Richard Kleihorst, Wilfried Philips, Dan Popescu, and Paul Scheunders, 6915:195–206. Berlin, Germany: Springer.
APA
De Vylder, Jonas, Aelterman, J., & Philips, W. (2011). Robust active contour segmentation with an efficient global optimizer. In Jean Blanc-Talon, R. Kleihorst, W. Philips, D. Popescu, & P. Scheunders (Eds.), LECTURE NOTES IN COMPUTER SCIENCE (Vol. 6915, pp. 195–206). Presented at the 13th International conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2011), Berlin, Germany: Springer.
Vancouver
1.
De Vylder J, Aelterman J, Philips W. Robust active contour segmentation with an efficient global optimizer. In: Blanc-Talon J, Kleihorst R, Philips W, Popescu D, Scheunders P, editors. LECTURE NOTES IN COMPUTER SCIENCE. Berlin, Germany: Springer; 2011. p. 195–206.
MLA
De Vylder, Jonas, Jan Aelterman, and Wilfried Philips. “Robust Active Contour Segmentation with an Efficient Global Optimizer.” Lecture Notes in Computer Science. Ed. Jean Blanc-Talon et al. Vol. 6915. Berlin, Germany: Springer, 2011. 195–206. Print.