Computer Science Department
The Technion - Israel Institute of Technology
Anastasia Dubrovina Karni received a B.Sc. and an M.Sc. degrees in Electrical Engineering from the Technion - Israel Institute of Technology.
She is currently a PhD candidate at the Computer Science department at the Technion.
Her research interests include variational methods for image segmentation, 3D shape matching, and spectral shape analysis.
Multi-region Active Contours with a Single Level Set Function
Segmenting an image into an arbitrary number of coherent regions is at the core of image understanding. In this talk, I will describe a method for multi-region image segmentation using an axiomatic variational approach. In the suggested framework, the segmentation is performed by the level set evolution. Yet, contrarily to most existing methods, here, multiple regions are represented by a single non-negative level set function. The level set function evolution is efficiently executed through the Voronoi Implicit Interface Method for multi-phase interface evolution. The proposed method allows to incorporate various generic region appearance models, while avoiding metrication errors, and obtains accurate segmentation results for various natural 2D and 3D images.