A new invention, the cellular neural network (CNN) universal machine and supercomputer,
is presented. This is the first algorithmically programmable analog array computer having …

This book provides an introduction to the use of geometric partial differential equations in
image processing and computer vision. This research area brings a number of new …

This series of volumes covers all the major aspects of numerical analysis, serving as the
basic reference work on the subject. Each volume concentrates on one to three particular …

In this paper we review the algorithm development and applications in high resolution shock
capturing methods, level set methods, and PDE based methods in computer vision and …

Computing in Nonlinear Media and Automata Collectives presents an account of new ways
to design massively parallel computing devices in advanced mathematical models, such as …

We have developed a function-level power estimation methodology for predicting the power
dissipation of embedded software. For a given microprocessor core, we empirically build the …

Coupled Maps (CM) offer a new approach towards modeling the visual system. Perceptual
representations are understood in this framework as transient, nonstationary patterns of …

The extraction of" Level 2" detail--ridge terminations, ridge bifurcations, bridges etc.--from
digitised images of fingerprints requires an accurate segmentation of the image into ridges …

We provide an automated method to repair broken, occluded oriented image textures. Our
approach is based on partial differential equations (PDEs) and AM-FM image modeling …

Basic principles of information processing by chemical light-sensitive reaction–diffusion
media and dynamic modes of these media adequate to information processing operations …