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
Representing Multiple Orientations in 2D with Orientation Channel Histograms
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2002 (English)Report (Other academic)
Abstract [en]

The channel representation is a simple yet powerful representation of scalars and vectors. It is especially suited for representation of several scalars at the same time without mixing them up.

This report is partly intended to serve as a simple illustration of the channel representation. The report shows how the channels can be used to represent multiple orientations in two dimensions. The idea is to make a channel representation of the local orientation angle computed from the image gradient. The representation basically becomes an orientation histogram with overlapping bins.

The channel histogram is compared with the orientation tensor, which is another representation of orientation. The performance comparable to tensors in the simple signal case, but decreases slightly for increasing number of channels. The channel histogram outperforms the tensors on non-simple signals.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press , 2002. , 19 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2475
Keyword [en]
Channel representation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-36331ISRN: LiTH-ISY-R-2475Local ID: 30989OAI: oai:DiVA.org:liu-36331DiVA: diva2:257179
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2014-08-28Bibliographically approved

Open Access in DiVA

fulltext(786 kB)178 downloads
File information
File name FULLTEXT01.pdfFile size 786 kBChecksum SHA-512
867622d9cd61249d3b6a533baba93cde13dd90346d1bf449862ce2597e6fa2bfac51a2230d9c9cdb45231b2b8b392da3bb185e4a3d681234f0bb350afb34fed2
Type fulltextMimetype application/pdf

Authority records BETA

Johansson, Björn

Search in DiVA

By author/editor
Johansson, Björn
By organisation
Computer VisionThe Institute of Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 178 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 178 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