In this paper a fully automated segmentation system for the femur in the knee in Magnetic Resonance Images and the brain in Single Photon Emission Computed Tomography images is presented. To do this several data sets were first segmented manually. The resulting structures were represented by unorganised point clouds. With level set methods surfaces were fitted to these point clouds. The iterate...

Conventional methods for shape analysis, based upon Procrustes and PCA, seem incapable of dealing with ‘non-landmark’ features, meaning measured positions not associated with well defined locations. This is due to an assumption of homogeneous errors, associated with an attempt to extract linear models with biologically meaningful descriptions. We propose a shape analysis system based upon the d...

Abstract: A system for real-time traffic sign detection is described in this paper. The vision-based traffic sign detection module developed in this work is intended for assisted driving of road vehicles by handling color images in RGB (Red, Green and Blue) format. In a first step a preattentive area of interest is determined based on the vertical projection of edge pixels. In a second step, a ...

To analyze given object shapes, it is necessary rst to model the shapes and then to analyze the models. This paper proposes a method of modeling and analyzing two-dimensional (2D) and three-dimensional (3D) shapes based on singularities. First, a function is dened on an object. The object is then modeled by the distribution of the singularities of the function. Finally, the extracted singular p...