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 ...

A 204MHz all copper RF cavity was designed for the phase II project of Hefei Light Source (HLS). The requirements of the storage ring, which will operate in General Purpose Light Source (GPLS) mode and High Brightness Light Source (HBLS) mode, determine the main parameters of the cavity. On the basis of the simulation of SUPERFISH, three kinds of cavity shape were designed, and one optimum shap...

The number of infrared beamlines at synchrotron facilities is expending worldwide. Due to the long wavelength of the radiation in the infrared region, the optimum collection of the emitted photons requires large opening angles, both vertically and horizontally (order of few tens of mrad). Most of the infrared beamlines use toroid shaped mirrors, or elliptical mirror to conjointly focus both the...

Traditional shape from shading methods are based on the Lambertian surface model. Real images often contain specularities which violate this assumption and lead to undesired results. In [1] a method for color subspace based specularity removal has been proposed. This method only works with a good estimate of the source color given as a vector in RGB space. In this project we present two novel m...

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...

In order to improve the effectiveness of shape based classification there is an ongoing interest in creating new shape descriptors or creating new measures for descriptors that are already defined and used in shape classification tasks. Convexity is one of the most widely used shape descriptors and also one of the most studied in the literature. There are already several defined convexity measu...

There have been various developments in shape analysis in the last decade. We describe here some relationships of shape analysis with directional statistics. For shape, rotations are to be integrated out or to be optimized over whilst they are the basis for directional statistics. However, various concepts are connected. In particular, certain distributions of directional statistics have emerge...