Abstract. We proposed an efficient iterative thresholding method for multi-phase image segmentation. The algorithm is based on minimizing piecewise constant Mumford-Shah functional in which the contour length (or perimeter) is approximated by a non-local multi-phase energy. The minimization problem is solved by an iterative method. Each iteration consists of computing simple convolutions follow...

This thesis presents work on shape matching and object recognition. First, we describe Eigen-CSS, a faster and more accurate approach to representing and matching the curvature scale space (CSS) features of shape silhouette contours. Phase-correlated marginal-sum features and PCA eigenspace decomposition via SVD differentiate our technique from earlier work. Next, we describe a deformable templ...

A new approach toward global modeling improvement of active microwave devices using filter-bank transforms is presented. A preconditioner based on these transforms is used to facilitate the iterative solution of the Poisson’s equation. This equation must be solved in the excitation plane which the input voltage is applied, at each time step in the full-wave analysis of high-frequency active dev...

We point out that the seemingly strong pseudorandom oracle preserving (PRO-Pr) property of hash function domain-extension transforms defined and implemented by Coron et. al. [12] can actually weaken our guarantees on the hash function, in particular producing a hash function that fails to be even collision-resistant (CR) even though the compression function to which the transform is applied is ...