liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Fast multi-dimensional filter networks: design, optimization and implementation
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
2006 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

As the title implies a fast filter network is a structure of filters, designed for efficient computation of a set of multi-dimensional filters. The efficiency is due to decomposition of multi-dimensional filter sets into a structure of smaller sparse filters called sub-filters. The structure used, forms a directed acyclic graph which allows the sub-filters to contribute to several output nodes of the networks, i.e. several filters in the set.

The use of filter networks involves non-trivial design, i.e. choosing the network structure and optimizing each sub-filter. In this thesis, the filter networks are constrained to perform linear filtering, one of the most fundamental operation in signal processing. The design problem associated with filter networks is described and solutions found has been implemented for extracting features like signal orientation, local frequency, local phase, local bandwidth and degree of anisotropy from volumetric data.

Filter networks has many potential applications and the primary target in this thesis has been local structure analysis. The implemented filter networks show a computational gain of factors exceeding 50 for estimation of local 3-D structure compared to standard convolution. As a proof of concept showing use in medical applications, filter networks for enhancement of medical 3-D data is presented.

Place, publisher, year, edition, pages
Linköping: Linköpings universitet , 2006. , 75 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1245
Series
LiU-TEK-LIC, 26
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-33621Local ID: 19656ISBN: 91-85523-92-5 (print)OAI: oai:DiVA.org:liu-33621DiVA: diva2:254444
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2013-11-25

Open Access in DiVA

No full text

Authority records BETA

Svensson, Björn

Search in DiVA

By author/editor
Svensson, Björn
By organisation
Medical InformaticsThe Institute of Technology
Medical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 506 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf