Gültekin, E.Çelik, H.İ.Dülger, Lale CananSünbül, H.İ.2024-05-042024-05-0420241300-3356https://doi.org/10.32710/tekstilvekonfeksiyon.1106638https://hdl.handle.net/20.500.14365/5299The abrage fault inspection and bobbin diameter measurement are very important processes in yarn manufacturing industry. These processes are performed manually, and so they are difficult, low efficient, time-consuming processes. The abrage faults are seen as colour or shade difference on the dyed fabric. This happens when the bobbins including abrage are converted to the fabric form, mistakes in colour differences are seen after dyeing process. An automatic machine vision system was developed for detecting abrage fault, and bobbin diameter from yarn bobbin cross-section view. Image processing software was developed and applied on different sizes of bobbin samples including different types of abrage fault. The success of vision system was statistically evaluated by detecting the bobbin abrage faults with 95.83% accuracy. In addition, the bobbin diameters obtained from the developed image processing algorithm were statistically analysed and the correlation coefficient (R2=0.99) was calculated. © 2024 Ege Universitesi. All rights reserved.eninfo:eu-repo/semantics/closedAccessBilinear interpolationbobbin diameterlocal thresholdingmachine vision systemyarn faultsArticle10.32710/tekstilvekonfeksiyon.11066382-s2.0-85190090871