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Robust active contour segmentation with an efficient global optimizer

Jonas De Vylder (UGent) , Jan Aelterman (UGent) and Wilfried Philips (UGent)
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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.
Keywords
MOTION, TRACKING, SHAPE, Active contours, segmentation, convex optimization, Split Bregman, MODEL

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Please use this url to cite or link to this publication:

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.
@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},
}

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