Real time fabric defect detection system on Matlab and C plus plus /Opencv platforms

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dc.authoridGolgiyaz, Sedat/0000-0003-0305-9713
dc.authoridHanbay, Kazım/0000-0003-1374-1417
dc.authoridTalu, Muhammed Fatih/0000-0003-1166-8404
dc.authorwosidGolgiyaz, Sedat/GSI-4458-2022
dc.authorwosidHanbay, Kazım/J-3848-2014
dc.authorwosidTalu, Muhammed Fatih/W-2834-2017
dc.contributor.authorHanbay, Kazim
dc.contributor.authorGolgiyaz, Sedat
dc.contributor.authorTalu, Muhammed Fatih
dc.date.accessioned2024-08-04T21:00:58Z
dc.date.available2024-08-04T21:00:58Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYen_US
dc.description.abstractIn industrial fabric productions, real time systems are needed to detect the fabric defects. This paper presents a real time defect detection approach which compares the time performances of Matlab and C++ programming languages. In the proposed method, important texture features of the fabric images are extracted using CoHOG method. Artificial neural network is used to classify the fabric defects. The developed method has been applied to detect the knitting fabric defects on a circular knitting machine. An overall defect detection success rate of 93% is achieved for the Matlab and C++ applications. To give an idea to the researches in defect detection area, real time operation speeds of Matlab and C++ codes have been examined. Especially, the number of images that can be processed in one second has been determined. While the Matlab based coding can process 3 images in 1 second, C++/Opencv based coding can process 55 images in 1 second. Previous works have rarely included the practical comparative evaluations of software environments. Therefore, we believe that the results of our industrial experiments will be a valuable resource for future works in this area.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Scien_US
dc.identifier.isbn978-1-5386-1880-6
dc.identifier.urihttps://hdl.handle.net/11616/103979
dc.identifier.wosWOS:000426868700020en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 International Artificial Intelligence and Data Processing Symposium (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectfabric defect detectionen_US
dc.subjectalgorithm analysisen_US
dc.subjectC plus plus applicationsen_US
dc.subjectsoftware performanceen_US
dc.titleReal time fabric defect detection system on Matlab and C plus plus /Opencv platformsen_US
dc.typeConference Objecten_US

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