uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • 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
De-noising of SRµCT Fiber Images by Total Variation Minimization
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
University of Novi Sad, Faculty of Engineering.
University of Novi Sad, Faculty of Engineering.
2010 (English)In: Proceedings of the 20th International Conference on Pattern Recognition (ICPR10), IEEE , 2010, 4621-4624 p.Conference paper, Published paper (Refereed)
Abstract [en]

SRμCT images of paper and pulp fiber materials are characterized by a low signal to noise ratio. De-noising is therefore a common preprocessing step before segmentation into fiber and background components. We suggest a de-noising method based on total variation minimization using a modified Spectral Conjugate Gradient algorithm. Quantitative evaluation performed on synthetic 3D data and qualitative evaluation on real 3D paper fiber data confirm appropriateness of the suggested method for the particular application.

Place, publisher, year, edition, pages
IEEE , 2010. 4621-4624 p.
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-134651DOI: 10.1109/ICPR.2010.1116OAI: oai:DiVA.org:uu-134651DiVA: diva2:373501
Conference
20th International Conference on Pattern Recognition (ICPR10)
Available from: 2010-11-30 Created: 2010-11-30 Last updated: 2011-02-11Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text
By organisation
Centre for Image AnalysisComputerized Image Analysis
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 428 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • 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