A new method for the estimation of mass functions in the Dempster-Shafer's evidence theory: application to colour image segmentation

DOI10.1007/s00034-010-9207-3zbMath1205.94023OpenAlexW2079249689MaRDI QIDQ626589

Eric Brassart, Franck Betin, Mounir Sayadi, Farhat Fnaiech, Salim Ben Chaabane

Publication date: 18 February 2011

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-010-9207-3

zbMATH Keywords

fuzzy clusteringdata fusionconflictDempster-Shafer's evidence theorypossibilistic approaches

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

A new method for the estimation of mass functions in the Dempster-Shafer's evidence theory: application to colour image segmentation

Cites Work

• A new method for the estimation of mass functions in the Dempster-Shafer's evidence theory: application to colour image segmentation
• Quantifying vagueness in decision models
• Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem
• Upper and Lower Probabilities Induced by a Multivalued Mapping
• Color image segmentation: advances and prospects
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