We present a computational, group-theoretic approach to steerable functions. The approach is group-theoretic in that the treatment involves continuous transformation groups for wh...
A single parameter value that represents the difference between the original and the digitized characters is determined from a binary scan of a test chart. It represents the combi...
Surprisingly simple local learning algorithms are known to outperform many other global non-linear machines. Unfortunately, these algorithms are computationally costly. A means of...
This paper describes a novel approach to surface tracking in volumetric image stacks. It draws on a statistical model of the uncertainties inherent in the characterisation of feat...
An alternative to representing curves at a single scale or a fixed number of multiple scales is to represent them only at their natural (i.e. most significant) scales. This allo...
In this paper we propose an encoding scheme and ad hoc operators for a genetic approach to hierarchical graph clustering. Given a connected graph whose vertices correspond to poin...
Thinning is a frequently used method for extracting skeletons in discrete spaces. This paper presents an efficient parallel Žthinning algorithm that directly extracts medial line...
A new approach for implementing filters based on order statistics is proposed in this letter. As an illustration realisations of range, a-trimmed mean and WMMR filters are present...
Antonios Gasteratos, Ioannis Andreadis, Phillipos ...