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FSED - Feature Selective Edge Detection
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9267-2191
n/a.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
2000 (English)In: ICPR15: Barcelona, Spain, IEEE , 2000, Vol. 1, 229-232 vol.1 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present a novel method that finds edges between certain image features, e.g. gray-levels, and disregards edges between other features. The method uses a channel representation of the features and performs normalized convolution using the channel values as certainties. This means that areas with certain features can be disregarded by the edge filter. The method provides an important new tool for finding tissue specific edges in medical images, as demonstrated by an MR-image example.

Place, publisher, year, edition, pages
IEEE , 2000. Vol. 1, 229-232 vol.1 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-21738DOI: 10.1109/ICPR.2000.905309ISBN: 0-7695-0750-6 (print)OAI: oai:DiVA.org:liu-21738DiVA: diva2:273861
Conference
15th International Conference on Pattern Recognition, 03-07 September 2000, Barcelona, Spain
Available from: 2009-10-25 Created: 2009-10-05 Last updated: 2015-01-22

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fulltext(134 kB)349 downloads
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Borga, MagnusKnutsson, Hans

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CiteExportLink to record
Permanent link

Direct link
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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
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  • asciidoc
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