Lopez-Molina, CarlosDe Miguel, LauraIglesias-Rey, SaraBustince, HumbertoDe Baets, Bernard2021-12-242021-12-242022-01-04978-0-9981331-5-7http://hdl.handle.net/10125/79598Binary 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.10 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalSoft Computing: Theory Innovations and Problem Solving Benefitsbinary image comparisonboundary image comparisondistance transformationsowa operatortext10.24251/HICSS.2022.266