Clustering is the process of subdividing an input data set into a desired number of subgroups so that members of the same subgroup are similar and members of different subgroups h...
Topology is an important prior in many image segmentation tasks. In this paper, we design and implement a novel graph-based min-cut/max-flow algorithm that incorporates topology p...
Parametric models of shape and texture such as Active Appearance Models (AAMs) are diverse tools for deformable object appearance modeling and have found important applications in...
This paper presents a robust, automated registration algorithm, which may be applied to several types of medical images, including CTs, MRIs, Xrays, Ultrasounds and dermatological ...
Users often need to optimize the selection of objects by appropriately weighting the importance of multiple object attributes. Such optimization problems appear often in operation...
Vagelis Hristidis, Nick Koudas, Yannis Papakonstan...