DocumentCode
598209
Title
Directional geodesic active contours
Author
Gallego, Guillermo ; Ronda, J.I. ; Valdes, Alfonso
Author_Institution
Grupo de Tratamiento de Imagenes, Univ. Politec. de Madrid, Madrid, Spain
fYear
2012
fDate
Sept. 30 2012-Oct. 3 2012
Firstpage
2561
Lastpage
2564
Abstract
We present a non-conformal metric that generalizes the geodesic active contours approach for image segmentation. The new metric is obtained by adding to the Euclidean metric an additional term that penalizes the misalignment of the curve with the image gradient and multiplying the resulting metric by a conformal factor that depends on the edge intensity. In this way, a closer fitting to the edge direction results. The provided experimental results address the computation of the geodesics of the new metric by applying a gradient descent to externally provided curves. The good performance of the proposed techniques is demonstrated in comparison with other active contours methods.
Keywords
differential geometry; edge detection; gradient methods; image segmentation; Euclidean metric; conformal factor; directional geodesic active contours; edge intensity; image gradient; image segmentation; nonconformal metric; Active contours; Computer vision; Detectors; Image edge detection; Image segmentation; Magnetic resonance imaging; Measurement; Active contour; Riemannian metric; calculus of variations; edge detection; image segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1522-4880
Print_ISBN
978-1-4673-2534-9
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2012.6467421
Filename
6467421
Link To Document