Image Processing Based Scrub Tester Design and Production

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dc.contributor.authorKacamer, Serdar
dc.contributor.authorBudakci, Mehmet
dc.contributor.authorKatircioglu, Ferzan
dc.date.accessioned2025-10-11T20:47:37Z
dc.date.available2025-10-11T20:47:37Z
dc.date.issued2025
dc.departmentDüzce Üniversitesien_US
dc.description.abstractcenter dot Determining how resistant paint, varnish or coating type materials, applied to wood-based panel surfaces, are to the effects of exposure to household chemicals is important in terms of developing products and providing durable surface coating to users. Every paint or coating type product coming off the production line needs to be tested quickly, and a new direction should be given to the work based on the positive or negative results obtained. Products without quality monitoring are returned by customers due to insufficient performance, resulting in loss of time, labor and materials. In this study, an Image Processing Based Scrub Tester (IPBST) was designed and produced in order to imitate the effect of paint, varnish and coating materials on the surfaces of furniture and decoration elements used in daily life against household chemicals. Unlike its counterparts, with IPBST, the image of each sample is digitally recorded before and after the scrubbing process, thanks to the compact photo booth integrated into the device. Wear, color and brightness change analyses of sample images can be performed with the Surface Flaw Analysis (SFA) method developed using the Matlab Graphical User Interface (GUI) image processing program on a computer integrated into the device. In this way, a 4-in-1 device that can do the job of 4 devices has been provided to the relevant scientific community and industry without the need for different types of industrial test devices.en_US
dc.description.sponsorshipNational New Ideas and Products Research Support Programme [221O551, TUBITAK-1005]en_US
dc.description.sponsorshipAcknowledgements - Zahvala This research received support from project num-ber 221O551 under the TUBITAK-1005 National New Ideas and Products Research Support Programme.en_US
dc.identifier.doi10.5552/drvind.2025.0205
dc.identifier.endpage77en_US
dc.identifier.issn0012-6772
dc.identifier.issn1847-1153
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-105001846402en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage69en_US
dc.identifier.urihttps://doi.org/10.5552/drvind.2025.0205
dc.identifier.urihttps://hdl.handle.net/20.500.12684/21472
dc.identifier.volume76en_US
dc.identifier.wosWOS:001460604300007en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherZagreb Univ, Fac Forestryen_US
dc.relation.ispartofDrvna Industrijaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_WOS_20250911
dc.subjectscrub testeren_US
dc.subjectimage processing techniqueen_US
dc.subjecthousehold chemicalsen_US
dc.subjectwearen_US
dc.subjectcolor and brightness testen_US
dc.titleImage Processing Based Scrub Tester Design and Productionen_US
dc.typeArticleen_US

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