Distance Transformations Based on Ordered Weighted Averaging Operators

dc.contributor.author Lopez-Molina, Carlos
dc.contributor.author De Miguel, Laura
dc.contributor.author Iglesias-Rey, Sara
dc.contributor.author Bustince, Humberto
dc.contributor.author De Baets, Bernard
dc.date.accessioned 2021-12-24T17:36:52Z
dc.date.available 2021-12-24T17:36:52Z
dc.date.issued 2022-01-04
dc.description.abstract Binary 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.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.266
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/79598
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Soft Computing: Theory Innovations and Problem Solving Benefits
dc.subject binary image comparison
dc.subject boundary image comparison
dc.subject distance transformations
dc.subject owa operator
dc.title Distance Transformations Based on Ordered Weighted Averaging Operators
dc.type.dcmi text
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