Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/92714
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dc.contributor.authorKruglov, A. V.en
dc.contributor.authorChiryshev, Y. V.en
dc.date.accessioned2020-10-20T16:36:54Z-
dc.date.available2020-10-20T16:36:54Z-
dc.date.issued2015-
dc.identifier.citationKruglov A. V. Comparative analysis of methods for the log boundaries isolation / A. V. Kruglov, Y. V. Chiryshev. — DOI 10.5220/0005552703570361 // ICINCO 2015 - 12th International Conference on Informatics in Control, Automation and Robotics, Proceedings. — 2015. — Iss. 2. — P. 357-361.en
dc.identifier.isbn9789897581236-
dc.identifier.otherhttps://doi.org/10.5220/0005552703570361pdf
dc.identifier.other2-3good_DOI
dc.identifier.other93ceca7e-7516-4583-87b2-b40eef76c31bpure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=84943514975m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/92714-
dc.description.abstractThe scrutiny of boundaries isolation methods is presented in this paper. The newly developed algorithms, based on regression analysis and integral projection are compared with Hough transform in order to analyze their effectiveness for the specific problem of moving logs control. The comparative analysis of the methods was carried out on the database of images obtained from video sequence of real industrial process by the criteria of accuracy and operation speed. Results of the test show that the line-by-line scanning method with posterior LOWESS regression analysis has the best accuracy. However, the best appropriate for the implementation in the real-time control systems based on machine vision technology is consecutive line selection method due to its reasonable accuracy and impressive performance.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherSciTePressen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceICINCO 2015 - 12th International Conference on Informatics in Control, Automation and Robotics, Proceedingsen
dc.subjectBOUNDARY DETECTIONen
dc.subjectHOUGH TRANSFORMen
dc.subjectIMAGE PROCESSINGen
dc.subjectINTEGRAL PROJECTIONen
dc.subjectREGRESSION ANALYSISen
dc.subjectCOMPUTER CONTROL SYSTEMSen
dc.subjectFEATURE EXTRACTIONen
dc.subjectHOUGH TRANSFORMSen
dc.subjectIMAGE PROCESSINGen
dc.subjectREAL TIME CONTROLen
dc.subjectREGRESSION ANALYSISen
dc.subjectROBOTICSen
dc.subjectBOUNDARY DETECTIONen
dc.subjectCOMPARATIVE ANALYSISen
dc.subjectINDUSTRIAL PROCESSSen
dc.subjectINTEGRAL PROJECTIONSen
dc.subjectOPERATION SPEEDen
dc.subjectREASONABLE ACCURACYen
dc.subjectSPECIFIC PROBLEMSen
dc.subjectVIDEO SEQUENCESen
dc.subjectIMAGE ANALYSISen
dc.titleComparative analysis of methods for the log boundaries isolationen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.5220/0005552703570361-
dc.identifier.scopus84943514975-
local.affiliationInstitute of Radioelectronics and Information Technologies, Ural State University Named After the First President of Russia B. N. Yeltsin, Mira st. 32, Yekaterinburg, Russian Federation
local.contributor.employeeKruglov, A.V., Institute of Radioelectronics and Information Technologies, Ural State University Named After the First President of Russia B. N. Yeltsin, Mira st. 32, Yekaterinburg, Russian Federation
local.contributor.employeeChiryshev, Y.V., Institute of Radioelectronics and Information Technologies, Ural State University Named After the First President of Russia B. N. Yeltsin, Mira st. 32, Yekaterinburg, Russian Federation
local.description.firstpage357-
local.description.lastpage361-
local.issue2-
dc.identifier.wos000380619000050-
local.identifier.pure290767-
local.identifier.eid2-s2.0-84943514975-
local.identifier.wosWOS:000380619000050-
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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