Implementation and Performance Analysis of Filternets
Today Image acquisition equipment produces huge amounts of data that needs to be processed. Often the data describes signals with a dimensionality higher then 2, as with ordinary images. This introduce a problem when it comes to process this high dimensional data since ordinary signal processing too...
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Linköpings universitet, Medicinsk informatik
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ndltd-UPSALLA1-oai-DiVA.org-liu-56012013-01-08T13:45:50ZImplementation and Performance Analysis of FilternetsengEinarsson, HenrikLinköpings universitet, Medicinsk informatikLinköpings universitet, Tekniska högskolanInstitutionen för medicinsk teknik2006Filter networksparse filtersefficient filteringorientation estimationMedical informaticsMedicinsk informatikToday Image acquisition equipment produces huge amounts of data that needs to be processed. Often the data describes signals with a dimensionality higher then 2, as with ordinary images. This introduce a problem when it comes to process this high dimensional data since ordinary signal processing tools are no longer suitable. New faster and more efficient tools need to be developed to fully exploit the advantages with e. g. a 3D CT-scan. One such tool is filternets, a layered networklike structure, which the signal propagates through. A filternet has three fundamental advantages which will decrease the filtering time. The network structure allows complex filter to be decomposed into simpler ones, intermediate result may be reused and filters may be implemented with very few nonzero coefficients (sparse filters). The aim of this study has been to create an implementation for filternets and optimize it with respect to execution time. Specially the possibility to use filternets that approximates a harmonic filterset for estimating orientation in 3D signals is investigated. Tests show that this method is up to about 30 times faster than a full filterset consisting of dense filters. They also show a slightly larger error in the estimated orientation compared with the dense filters, this error should however not limit the usability of the method. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5601application/pdfinfo:eu-repo/semantics/openAccess |
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Filter network sparse filters efficient filtering orientation estimation Medical informatics Medicinsk informatik |
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Filter network sparse filters efficient filtering orientation estimation Medical informatics Medicinsk informatik Einarsson, Henrik Implementation and Performance Analysis of Filternets |
description |
Today Image acquisition equipment produces huge amounts of data that needs to be processed. Often the data describes signals with a dimensionality higher then 2, as with ordinary images. This introduce a problem when it comes to process this high dimensional data since ordinary signal processing tools are no longer suitable. New faster and more efficient tools need to be developed to fully exploit the advantages with e. g. a 3D CT-scan. One such tool is filternets, a layered networklike structure, which the signal propagates through. A filternet has three fundamental advantages which will decrease the filtering time. The network structure allows complex filter to be decomposed into simpler ones, intermediate result may be reused and filters may be implemented with very few nonzero coefficients (sparse filters). The aim of this study has been to create an implementation for filternets and optimize it with respect to execution time. Specially the possibility to use filternets that approximates a harmonic filterset for estimating orientation in 3D signals is investigated. Tests show that this method is up to about 30 times faster than a full filterset consisting of dense filters. They also show a slightly larger error in the estimated orientation compared with the dense filters, this error should however not limit the usability of the method. |
author |
Einarsson, Henrik |
author_facet |
Einarsson, Henrik |
author_sort |
Einarsson, Henrik |
title |
Implementation and Performance Analysis of Filternets |
title_short |
Implementation and Performance Analysis of Filternets |
title_full |
Implementation and Performance Analysis of Filternets |
title_fullStr |
Implementation and Performance Analysis of Filternets |
title_full_unstemmed |
Implementation and Performance Analysis of Filternets |
title_sort |
implementation and performance analysis of filternets |
publisher |
Linköpings universitet, Medicinsk informatik |
publishDate |
2006 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5601 |
work_keys_str_mv |
AT einarssonhenrik implementationandperformanceanalysisoffilternets |
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