A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking

In this paper, we introduce a semi-automated segmentation method based on minimizing the Geodesic Active Contour energy incorporating a shape prior. We increase the robustness of the segmentation result using the additional shape information that represents the desired structure. Furthermore the user has the possibility to take corrective actions during the segmentation and adapt the shape prior position. Interaction is often desirable when processing difficult data like in medical applications. To facilitate the user interaction we add a shape deformation which allows to change the shape position manually by the user and automatically in terms of underlying image features. Using a variational formulation, the optimization can be done in a globally optimal manner for a fixed shape representation. To obtain real-time behavior, which is especially important for an interactive tool, the whole method is implemented on the GPU. Experiments are done on medical, as well as on video data and ...

• Type: Conference
• Year: 2009
• Where: SCALESPACE
• Authors: Manuel Werlberger, Thomas Pock, Markus Unger, Horst Bischof
• Keywords: Additional Shape Information, Computer Vision, SCALESPACE 2009, Semi-automated Segmentation Method, Shape Prior Position