TY  - JOUR
AU  - L.Garrido
AU  - M.Guerrieri
AU  - Laura Igual
PY  - 2015//
TI  - Image Segmentation with Cage Active Contours
T2  - TIP
JO  - IEEE Transactions on Image Processing
SP  - 5557
EP  - 5566
VL  - 24
IS  - 12
KW  - Level sets
KW  - Mean value coordinates
KW  - Parametrized active contours
N2  - In this paper, we present a framework for image segmentation based on parametrized active contours. The evolving contour is parametrized according to a reduced set of control points that form a closed polygon and have a clear visual interpretation. The parametrization, called mean value coordinates, stems from the techniques used in computer graphics to animate virtual models. Our framework allows to easily formulate region-based energies to segment an image. In particular, we present three different local region-based energy terms: 1) the mean model; 2) the Gaussian model; 3) and the histogram model. We show the behavior of our method on synthetic and real images and compare the performance with state-of-the-art level set methods.
SN  - 1057-7149
UR  - http://dx.doi.org/10.1109/TIP.2015.2472298
N1  - MILAB
ID  - L.Garrido2015
ER  -