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18th International Conference on Pattern Recognition (ICPR'06) Volume 2
A Geometric Active Contour Framework using Multi-Cue and Local Feature
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Zhenglong Li, Qingshan Liu, Hanqing Lu, "A Geometric Active Contour Framework using Multi-Cue and Local Feature," Pattern Recognition, International Conference on, vol. 2, pp. 113-116, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.72,
author = {Zhenglong Li and Qingshan Liu and Hanqing Lu},
title = {A Geometric Active Contour Framework using Multi-Cue and Local Feature},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {113-116},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.72},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - A Geometric Active Contour Framework using Multi-Cue and Local Feature
SN - 1051-4651
SP113
EP116
A1 - Zhenglong Li,
A1 - Qingshan Liu,
A1 - Hanqing Lu,
PY - 2006
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Zhenglong Li, Chinese Academy of Sciences, Beijing (100080), P.R. China
Qingshan Liu, Chinese Academy of Sciences, Beijing (100080), P.R. China
Hanqing Lu, Chinese Academy of Sciences, Beijing (100080), P.R. China
There exist two key issues in the traditional Geometric Active Contour (GAC): only single cue based driven force and edge leakage. In this paper, we propose two new GACs, i.e., Multi-Cue based GAC (MC-GAC) and Local-Feature based GAC (LF-GAC), to deal with these two problems respectively. In MC-GAC, a multi-cue based force is generated by introducing the customized vector flow into the model. To utilize local feature information, LF-GAC is developed, in which local edge information is considered to produce continuous edge. Further, we unify these two GACs into a novel general GAC framework. Extensive experiments showed the advantages of the proposed method.
Citation:
Zhenglong Li, Qingshan Liu, Hanqing Lu, "A Geometric Active Contour Framework using Multi-Cue and Local Feature," icpr, vol. 2, pp.113-116, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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