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Fuzzy kriging filter for image restoration
School of Computing University of Canberra ACT 2601, Australia.ORCID iD: 0000-0002-4255-5130
School of Computing University of Canberra ACT 2601, Australia.
1999 (English)Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

Kriging and fuzzy sets are combined as a spatial filter for smoothing gray-scale images degraded by Gaussian white noise. Application of fuzzy sets allows a gradual transition between two boundaries of semi-variance levels as a criterion for smoothing the pixel values. Results which are obtained by the fuzzy kriging filter are smoother and still preserved edges compared with those by the adaptive Wiener filter

Place, publisher, year, edition, pages
1999. 333-336 p.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-125028DOI: 10.1109/KES.1999.820191ISBN: 0-7803-5578-4 (print)OAI: oai:DiVA.org:liu-125028DiVA: diva2:902762
Conference
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference. December 1999 Adelaide, SA
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2016-02-24

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Pham, Tuan D
Computer Vision and Robotics (Autonomous Systems)

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Total: 280 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