Antunes dos Santos, FelipeLópez Molina, CarlosMir Fuentes, ArnauMendióroz Iriarte, MaiteBaets, Bernard de2023-09-272023-09-272022Antunes-Santos, F., Lopez-Molina, C., Mir-Fuentes, A., Mendioroz, M., & De Baets, B. (2022). Content-aware image smoothing based on fuzzy clustering. En D. Ciucci, I. Couso, J. Medina, D. Ślęzak, D. Petturiti, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems (Vol. 1602, pp. 443-454). Springer International Publishing. https://doi.org/10.1007/978-3-031-08974-9_35978-3-031-08973-210.1007/978-3-031-08974-9_35https://academica-e.unavarra.es/handle/2454/46426Literature contains a large variety of content-aware smoothing methods. As opposed to classical smoothing methods, content-aware ones intend to regularize the image while avoiding the loss of relevant visual information. In this work, we propose a novel approach to contentaware image smoothing based on fuzzy clustering, specifically the Spatial Fuzzy c-Means (SFCM) algorithm. We develop the proposal and put it to the test in the context of automatic analysis of immunohistochemistry imagery for neural tissue analysis.application/pdfeng© 2022 Springer Nature Switzerland AGFuzzy clusteringImage smoothingProgressive supranuclear palsyinfo:eu-repo/semantics/conferenceObject2023-09-26info:eu-repo/semantics/openAccess