Distance Transformations Based on Ordered Weighted Averaging Operators

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dc.contributor.authorLopez-Molina, Carlos
dc.contributor.authorDe Miguel, Laura
dc.contributor.authorIglesias-Rey, Sara
dc.contributor.authorBustince, Humberto
dc.contributor.authorDe Baets, Bernard
dc.date.accessioned2021-12-24T17:36:52Z
dc.date.available2021-12-24T17:36:52Z
dc.date.issued2022-01-04
dc.description.abstractBinary image comparison has been a study subject for a long time, often rendering in context-specific solutions that depend upon the type of visual contents in the binary images. Distance transformations have been a recurrent tool in many of such solutions. The literature contains works on the generation and definition of distance transformations, but also on how to make a sensible use of their results. In this work, we attempt to solve one of the most critical problems in the application of distance transformations to real problems: their oversensitivity to certain spurious pixels which, even if having a minimal visual impact in the binary images to be compared, may have a severe impact on their distance transforms. With this aim, we combine distance transformations with Ordered Weighted Averaging (OWA) operators, a well-known information fusion tool from Fuzzy Set Theory.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.266
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/79598
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSoft Computing: Theory Innovations and Problem Solving Benefits
dc.subjectbinary image comparison
dc.subjectboundary image comparison
dc.subjectdistance transformations
dc.subjectowa operator
dc.titleDistance Transformations Based on Ordered Weighted Averaging Operators
dc.type.dcmitext

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Soft Computing: Theory Innovations and Problem Solving Benefits