Abstract. This paper presents a novel approach for object segmentation in medical images that respects the topological relationships of multiple structures as given by a template. ...
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
This article presents colposcopic image classification based on contour parameters used in a comparison study of different artificial neural networks and the knearest neighbors re...
Isabelle Claude, Renaud Winzenrieth, Philippe Poul...
Generally, the real-time applications exchange information on dedicated network and the other traffic is supported by another communication system. The differentiation of these tw...
Jean-Philippe Georges, Eric Rondeau, Thierry Divou...
Abstract. In this paper, we propose a novel method for generic object recognition by using higher-order local auto-correlations on probability images. The proposed method is an ext...