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
fDate :
Sept. 30 2012-Oct. 3 2012
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;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6467421