López Molina, CarlosMiguel Turullols, Laura deIglesias Rey, SaraBustince Sola, HumbertoBaets, Bernard de2022-09-212022-09-212021Lopez-Molina, C.; De-Miguel, L.; Iglesias-Rey, S.; Bustince, H.; De-Baets, B. (2021). Distance transformations based on ordered weighted averaging operators. University of Hawaii Press, p. 2115-2124https://academica-e.unavarra.es/handle/2454/44086Binary 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.application/pdfengCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)Binary image comparisonBoundary image comparisonDistance transformationsOWA operatorinfo:eu-repo/semantics/conferenceObject2022-09-21info:eu-repo/semantics/openAccess