Advanced

Stochastic Modelling of Image Acquisition, Interpolation and Scale-space smoothing

Åström, Karl LU and Heyden, Anders LU (1996) Phd School of Classical Scale-Space Theory
Abstract
In this study, the problem of feature extraction by scale-space methods is addressed. The modeling of image acquisition, image interporation and scale-space smoothing is discussed, with particular emphasis on the influence of random errors and the interplay between the discrete and continuous representations. In doing so, new results are given on the stochastic properties of discrete and continuous random fields. Further, a new discrete scale-space theory is developed.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
conference name
Phd School of Classical Scale-Space Theory
language
English
LU publication?
yes
id
cd88dd74-ef0c-4b46-bd0e-7d9d77c9e13b (old id 787678)
date added to LUP
2008-07-01 14:48:31
date last changed
2016-04-16 11:57:02
@misc{cd88dd74-ef0c-4b46-bd0e-7d9d77c9e13b,
  abstract     = {In this study, the problem of feature extraction by scale-space methods is addressed. The modeling of image acquisition, image interporation and scale-space smoothing is discussed, with particular emphasis on the influence of random errors and the interplay between the discrete and continuous representations. In doing so, new results are given on the stochastic properties of discrete and continuous random fields. Further, a new discrete scale-space theory is developed.},
  author       = {Åström, Karl and Heyden, Anders},
  language     = {eng},
  title        = {Stochastic Modelling of Image Acquisition, Interpolation and Scale-space smoothing},
  year         = {1996},
}