A parallel algorithm for defect detection of rail and profile in the manufacturing

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dc.authoridOrak, Ilhami Muharrem/0000-0002-7219-4209
dc.contributor.authorOrak, Ilhami Muharrem
dc.contributor.authorCelik, Ahmet
dc.date.accessioned2024-09-29T16:06:29Z
dc.date.available2024-09-29T16:06:29Z
dc.date.issued2017
dc.departmentKarabük Üniversitesien_US
dc.description.abstractObtaining a result by processing an image via an automatic system may be useful in many fields today. Manufacturing a defective product is an undesired case for manufacturers in many fields. Processing images is an efficient method used to detect defects on images to eliminate the defective products. Since image processing is conducted on pixel basis, it entails great workload. In cases where speed is important in processing, parallel image processing might be a solution. Therefore, processing images in the current multi-core computers by paralleling them with additional hardware and software can boost the performance. The performance in parallel image processing is related to relevance of the algorithm to the parallelism and its accurate distribution to the processors. Common use of the resources and excess of data exchange affect the performance directly. In this study, parallel application of COLMSTD algorithm developed to detect the defects on rail and profile surface during rolling in Kardemir Inc. rolling plant was conducted in two different ways. The 1st method was carried out by selecting the CUDA core numbers in GPU structure by software and the 2nd method was conducted by using single CUDA core. The performance of the results obtained on GPU (Graphics Processing Unit) with the support of CUDA (Compute Unified Device Architecture) interface was compared with that of CPU values.en_US
dc.identifier.doi10.17341/gazimmfd.322168
dc.identifier.endpage448en_US
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85020539611en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage439en_US
dc.identifier.urihttps://doi.org/10.17341/gazimmfd.322168
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6859
dc.identifier.volume32en_US
dc.identifier.wosWOS:000403942800014en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherGazi Univ, Fac Engineering Architectureen_US
dc.relation.ispartofJournal of the Faculty of Engineering and Architecture of Gazi Universityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHot rolling processingen_US
dc.subjectdefect detectionen_US
dc.subjectrailen_US
dc.subjectprofileen_US
dc.subjectgraphic processoren_US
dc.subjectcudaen_US
dc.subjectparallel processingen_US
dc.titleA parallel algorithm for defect detection of rail and profile in the manufacturingen_US
dc.typeArticleen_US

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