B-Spline Explicit Active Surfaces: An efficient framework for real-time 3D region-based segmentation

Daniel Barbosa (1) , T. Dietenbeck (2) , Joel Schaerer (3) , Jan d'Hooge (1) , Denis Friboulet (2) , Olivier Bernard (2)

1 Laboratory of Cardiovascular Imaging and Dynamics
2 Images et Modèles
3 CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé

A new formulation of active contours based on explicit functions has been recently suggested. This novel framework allows real-time 3-D segmentation since it reduces the dimensionality of the segmentation problem. In this paper, we propose a B-spline formulation of this approach, which further improves the computational efficiency of the algorithm. We also show that this framework allows evolving the active contour using local region-based terms, thereby overcoming the limitations of the original method while preserving computational speed. The feasibility of real-time 3-D segmentation is demonstrated using simulated and medical data such as liver computer tomography and cardiac ultrasound images.

Mots clés: variational method; real-time image processing; image segmentation; B-Splines; Active contours

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Daniel Barbosa, T. Dietenbeck, Joel Schaerer, Jan d'Hooge, Denis Friboulet, et al.. B-Spline Explicit Active Surfaces: An efficient framework for real-time 3D region-based segmentation. IEEE Transactions on Image Processing, 2012, 21 (1), pp.241-251. ⟨10.1109/tip.2011.2161484⟩. ⟨hal-00819333⟩