Stochastic Modelling of Image Acquisition, Interpolation and Scale-space smoothing
(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:
https://lup.lub.lu.se/record/787678
- author
- Åström, Karl LU and Heyden, Anders LU
- organization
- publishing date
- 1996
- type
- Contribution to conference
- publication status
- published
- subject
- conference name
- Phd School of Classical Scale-Space Theory
- conference location
- Copenhagen, Denmark
- conference dates
- 0001-01-02
- language
- English
- LU publication?
- yes
- id
- cd88dd74-ef0c-4b46-bd0e-7d9d77c9e13b (old id 787678)
- date added to LUP
- 2016-04-04 13:59:29
- date last changed
- 2020-12-22 02:16:17
@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}}, }