A robust butt welding seam finding technique for intelligent robotic welding system using active laser vision

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dc.contributor.authorMuhammad, Jawad
dc.contributor.authorAltun, Halis
dc.contributor.authorAbo-Serie, Essam
dc.date.accessioned2020-03-26T19:52:47Z
dc.date.available2020-03-26T19:52:47Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIntelligent robotic welding requires automatic finding of the seam geometrical features in order for an efficient intelligent control. Performance of the system, therefore, heavily depends on the success of the seam finding stage. Among various seam finding techniques, active laser vision is the most effective approach. It typically requires high-quality lasers, camera and optical filters. The success of the algorithm is highly sensitive to the image processing and feature extraction algorithms. In this work, sequential image processing and feature extraction algorithms are proposed to effectively extract the seam geometrical properties from a low-quality laser image captured without the conventional narrow band filter. A novel method of laser segmentation and detection is proposed. The segmentation method involves averaging, colour processing and blob analysis. The detection method is based on a novel median filtering technique that involves enhancing of the image object based on its underlying structure and orientation in the image. The method when applied enhances the vertically oriented laser stripe in the image which improves the laser peak detection. The image processing steps are performed to make sure that the laser profile is accurately extracted within the region of interest (ROI). Feature extraction algorithm based on pixels' intensity distribution and neighbourhood search is also proposed that can effectively extract the seam feature points. The proposed algorithms have been implemented and evaluated on various background complexities, seam sizes, material type and laser types before and during the welding operation.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey-TUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [114M756]en_US
dc.description.sponsorshipThe authors would like to acknowledge the support provided by The Scientific and Technological Research Council of Turkey-TUBITAK (grant no. 114M756) for conducting this research work.en_US
dc.identifier.doi10.1007/s00170-016-9481-8en_US
dc.identifier.endpage29en_US
dc.identifier.issn0268-3768en_US
dc.identifier.issn1433-3015en_US
dc.identifier.issue01.04.2020en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage13en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s00170-016-9481-8
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36286
dc.identifier.volume94en_US
dc.identifier.wosWOS:000419114100002en_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.subjectSeam findingen_US
dc.subjectRobotic weldingen_US
dc.subjectComputer visionen_US
dc.subjectFeature extractionen_US
dc.subjectIntelligent sensorsen_US
dc.subjectRobotic applicationen_US
dc.titleA robust butt welding seam finding technique for intelligent robotic welding system using active laser visionen_US
dc.typeArticleen_US

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