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The Evidence Theory Based Post-Processing of Colour Images
Department of Applied Electronics, Kaunas University of Technology, LT-3031, Kaunas, Lithuania.
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0003-2185-8973
2004 (English)In: Informatica (Vilnius), ISSN 0868-4952, E-ISSN 1822-8844, Vol. 15, no 3, p. 315-328Article in journal (Refereed) Published
Abstract [en]

The problem of post-processing of a classified image is addressed from the point of view of the Dempster-Shafer theory of evidence. Each neighbour of a pixel being analyzed is considered as an item of evidence supporting particular hypotheses regarding the class label of that pixel. The strength of support is defined as a function of the degree of uncertainty in class label of the neighbour, and the distance between the neighbour and the pixel being considered. A post-processing window defines the neighbours. Basic belief masses are obtained for each of the neighbours and aggregated according to the rule of orthogonal sum. The final label of the pixel is chosen according to the maximum of the belief function.

Place, publisher, year, edition, pages
Vilnius: Institute of Mathematics and Cybernetics, Lithuanian Academy of Sciences , 2004. Vol. 15, no 3, p. 315-328
Keywords [en]
Evidence theory, Colour image segmentation, Classification, Post-processing
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-243ISI: 000224165600003Scopus ID: 2-s2.0-18644375669OAI: oai:DiVA.org:hh-243DiVA, id: diva2:237421
Available from: 2006-11-24 Created: 2006-11-24 Last updated: 2017-12-13Bibliographically approved

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Verikas, Antanas

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • 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