Local seismic attributes measure seismic signal characteristics not instantaneously at each signal point and not globally across a data window but locally in the neighborhood of each point. I define local attributes with the help of regularized inversion and demonstrate their usefulness for measuring local frequencies of seismic signals and local similarity between different datasets. I use sha...

This work presents the application of a discrete medical image registration framework to multi-organ segmentation in different modalities. The algorithm works completely automatically and does not have to be tuned specifically for different datasets. A robust similarity measure, using the local self-similarity context (SSC), is employed and shown to outperform other commonly used metrics. Both ...

We propose an efficient way to account for spatial smoothness in foreground-background segmentation of video sequences. Most statistical background modeling techniques regard the pixels in an image as independent and disregard the fundamental concept of smoothness. In contrast, we model smoothness of the foreground and background with a Markov random field, in such a way that it can be globally...

The aim of this paper is to develop algorithms to measure motion features by investigating concepts which are commonly used to describe movement characteristics in both research studies and everyday life: impulsivity and smoothness. We also aim to implement such definitions in our developing environment VisNet and finally test if they can effectively measure impulsivity and smoothness in the sa...

It is a classical result that a closed exceptional polar set is removable for subharmonic functions which are bounded above. Gardiner has shown that in the case of a compact exceptional set the above boundedness condition can be relaxed by imposing certain smoothness and Hausdorff measure conditions on the set. We give related results for a closed exceptional set, by replacing the smoothness an...