Real-time product quality control system using optimized Gabor filter bank

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dc.contributor.authorOzturk, Saban
dc.contributor.authorAkdemir, Bayram
dc.date.accessioned2020-03-26T19:55:26Z
dc.date.available2020-03-26T19:55:26Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractMachine vision systems provide significant advantages when compared to conventional methods. Inspired from this idea, a visual inspected system that is independent of dust and dirt is presented for glass production systems. The method consists of a camera, a conveyor system, and an image segmentation method. Architecture of proposed system is as follows: a specific area of the conveyor is isolated from the outside. When glass enters this area, defect inspection process begins. In the inspection process, damaged and undamaged regions on glass surface are segmented. Gabor filter is very effective to detect orientation and thickness of these defects. But, Gabor filter bank should be created using appropriate Gabor coefficients for real-time applications. Otherwise, the processing time will be too long or fail results will be obtained. For this purpose, a new Gabor filter bank is created using gray wolf optimizer. In the hardware section, light beams are injected into the glass and the movements of these beams are observed to increase the perceptibility of the damage. Beam distribution is homogenous in the undamaged regions, but homogeneity is disturbed in defected areas. To avoid irregular glare on the glass surface, external lights are blocked and an artificial light source is used. Artificial light beams are injected into perpendicularly in the glass. So, homogeneous illumination in the glass can be occurred. Finally, optimized Gabor filter bank is applied to glass images. Proposed system detects all defects on the glass surface in the experiments. Size of the smallest defect is 0.4 mm. Defect detection performance of proposed system is nearly 100%. If it is evaluated in terms of shape and size, accuracy rate is 98.1%.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [114E925]en_US
dc.description.sponsorshipThis work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) (114E925).en_US
dc.identifier.doi10.1007/s00170-018-1585-xen_US
dc.identifier.endpage19en_US
dc.identifier.issn0268-3768en_US
dc.identifier.issn1433-3015en_US
dc.identifier.issue01.04.2020en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage11en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s00170-018-1585-x
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36909
dc.identifier.volume96en_US
dc.identifier.wosWOS:000428797500002en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGER LONDON LTDen_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectImage segmentationen_US
dc.subjectDefect detectionen_US
dc.subjectOptimized Gabor filteren_US
dc.subjectGray wolf optimizeren_US
dc.subjectGlass inspectionen_US
dc.titleReal-time product quality control system using optimized Gabor filter banken_US
dc.typeArticleen_US

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