loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
18th International Conference on Pattern Recognition (ICPR'06) Volume 2
Initialization Techniques for Segmentation with the Chan-Vese Model
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
x 
 
Jan Erik Solem, Niels Chr. Overgaard, Anders Heyden, "Initialization Techniques for Segmentation with the Chan-Vese Model," Pattern Recognition, International Conference on, vol. 2, pp. 171-174, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2006.713,
author = {Jan Erik Solem and Niels Chr. Overgaard and Anders Heyden},
title = {Initialization Techniques for Segmentation with the Chan-Vese Model},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {171-174},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.713},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Initialization Techniques for Segmentation with the Chan-Vese Model
SN - 1051-4651
SP171
EP174
A1 - Jan Erik Solem,
A1 - Niels Chr. Overgaard,
A1 - Anders Heyden,
PY - 2006
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Jan Erik Solem, Malmo University, Sweden
Niels Chr. Overgaard, Malmo University, Sweden
Anders Heyden, Malmo University, Sweden
This paper introduces an effective initialization approach for segmentation using the Chan-Vese model. The initial curve is found by searching among the extremals of the fidelity term, as a form of intelligent thresholding where the regularity of the threshold level is incorporated. The method has a nice connection to the curvature of the optimal initial partition boundary. The method is tested on several examples and gives considerable increase in performance.
Citation:
Jan Erik Solem, Niels Chr. Overgaard, Anders Heyden, "Initialization Techniques for Segmentation with the Chan-Vese Model," icpr, vol. 2, pp.171-174, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
Usage of this product signifies your acceptance of the Terms of Use.