In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
A novel approach to the detection of multiple sclerosis (MS) lesions is presented, which uses an adaptive formulation of the anisotropic diffusion and fuzzy-c-means (FCM) clusteri...
The elements of multimodal authentication along with system models are presented. These include the machine experts as well as machine supervisors. In particular fingerprint and s...
This paper presents Olympus, a modular processing architecture for a distributed ambient intelligence. The system is aimed at detailed reporting of people wandering and gesturing ...
F. Bertamini, Roberto Brunelli, Oswald Lanz, A. Ro...
Deformable models are by their formulation able to solve surface extraction problem from noisy volumetric image data encountered commonly in medical image analysis. However, this ...
In this paper, a new segmentation technique for multivalued images is elaborated. The technique makes use of the first fundamental form to access edge information of a multivalued...
This paper describes a technique to represent relevant information of tree-like structures in a compact way. The technique is general. In the application described here, the image...