IEEE transactions on pattern analysis and machine intelligence, 2004-03, Vol.26 (3), p.402-407
2004
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- Autor(en) / Beteiligte
- Titel
- Gradient vector flow fast geometric active contours
- Ist Teil von
- IEEE transactions on pattern analysis and machine intelligence, 2004-03, Vol.26 (3), p.402-407
- Ort / Verlag
- United States: IEEE
- Erscheinungsjahr
- 2004
- Quelle
- IEEE/IET Electronic Library (IEL)
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0162-8828eISSN: 1939-3539DOI: 10.1109/TPAMI.2004.1262337Titel-ID: cdi_proquest_journals_884036912
- Format
- –
- Schlagworte
- Active contours, Algorithms, Artificial Intelligence, Computer Graphics, Computer vision, Deformable models, Equations, Image Enhancement - methods, Image Interpretation, Computer-Assisted - methods, Image segmentation, Information Storage and Retrieval - methods, Lagrangian functions, Level set, Numerical Analysis, Computer-Assisted, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity, Shape, Signal Processing, Computer-Assisted, Solid modeling, Subtraction Technique, Topology