By Topic

A Geometric Active Contour Framework using Multi-Cue and Local Feature

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Zhenglong Li ; Inst. of Autom., Chinese Acad. of Sci., Beijing ; Qingshan Liu ; Hanqing Lu

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

Published in:

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on  (Volume:2 )

Date of Conference:

0-0 0