DocumentCode
870068
Title
Gradient vector flow fast geometric active contours
Author
Paragios, Nikos ; Mellina-Gottardo, Olivier ; Ramesh, Visvanathan
Author_Institution
Real-Time Vision & Modeling Dept., Siemens Corp. Res., Princeton, NJ, USA
Volume
26
Issue
3
fYear
2004
fDate
3/1/2004 12:00:00 AM
Firstpage
402
Lastpage
407
Abstract
In this paper, we propose an edge-driven bidirectional geometric flow for boundary extraction. To this end, we combine the geodesic active contour flow and the gradient vector flow external force for snakes. The resulting motion equation is considered within a level set formulation, can deal with topological changes and important shape deformations. An efficient numerical schema is used for the flow implementation that exhibits robust behavior and has fast convergence rate. Promising results on real and synthetic images demonstrate the potentials of the flow.
Keywords
differential geometry; edge detection; image segmentation; boundary extraction; convergence rate; edge driven bidirectional geometric flow; geodesic active contour flow; gradient vector flow; motion equation; shape deformation; synthetic images; topological changes; Active contours; Computer vision; Deformable models; Equations; Image segmentation; Lagrangian functions; Level set; Shape; Solid modeling; Topology; Algorithms; Artificial Intelligence; Computer Graphics; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.2004.1262337
Filename
1262337
Link To Document