Comparison of Edge Detection Algorithms for Texture Analysis on Glass Production

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dc.contributor.authorOzturk, Saban
dc.contributor.authorAkdemir, Bayram
dc.date.accessioned2020-03-26T19:01:29Z
dc.date.available2020-03-26T19:01:29Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.descriptionWorld Conference on Technology, Innovation and Entrepreneurship -- MAY 28-30, 2015 -- Istanbul, TURKEYen_US
dc.description.abstractThe use of technological innovations in production will increase the number of product and quality. With proposed method in this paper, it is aimed to improve the production process of glass which used almost every field. In this study, some of the popular edge detection algorithms (Roberts, Prewitt, Sobel, LoG and Canny) are used for the texture analysis process. It is aimed to determine glass surface defect with the applied of mentioned edge detection operators to same image. The results obtained from application are compared with the reference image and texture analysis performance of edge detection algorithms are evaluated. In this study the used material is glass and it is aimed to determine the glass surface defect such as scratch, crack and bubble with the use of edge detection operators. Glass is a difficult material to examine with cameras because glass has reflection and the transparency features. So, some improvement are applied in the image before edge detection algorithms are applied. Performed controlled experiments showed that LoG edge detection algorithm is better than other edge detection algorithms in determining texture analysis. (C) 2015 The Authors. Published by Elsevier Ltd.en_US
dc.identifier.doi10.1016/j.sbspro.2015.06.477en_US
dc.identifier.endpage2675en_US
dc.identifier.startpage2668en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.sbspro.2015.06.477
dc.identifier.urihttps://hdl.handle.net/20.500.12395/31951
dc.identifier.wosWOS:000380509900322en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.relation.ispartofWORLD CONFERENCE ON TECHNOLOGY, INNOVATION AND ENTREPRENEURSHIPen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectedge detection algorithmsen_US
dc.subjectimage processingen_US
dc.subjecttexture analysisen_US
dc.subjectdefect detectionen_US
dc.subjectglass productionen_US
dc.titleComparison of Edge Detection Algorithms for Texture Analysis on Glass Productionen_US
dc.typeConference Objecten_US

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