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dc.contributor.authorHercík, Radim
dc.contributor.authorMacháček, Zdeněk
dc.contributor.authorKoziorek, Jiří
dc.contributor.authorVaňuš, Jan
dc.contributor.authorSchneider, Miroslav
dc.contributor.authorWalendziuk, Wojciech
dc.date.accessioned2021-02-19T07:24:19Z
dc.date.available2021-02-19T07:24:19Z
dc.date.issued2020
dc.identifier.citationElektronika ir Elektrotechnika. 2020, vol. 26, issue 6, p. 4-9.cs
dc.identifier.issn1392-1215
dc.identifier.urihttp://hdl.handle.net/10084/142859
dc.description.abstractThis paper is focused on a description of a new method of detecting continuities in a binary image. The detecting method is called "Binary Large Object" (BLOB). A new algorithm with other elementary parameters, as processing speed and memory capability, are described here. The developed BLOB method with described algorithms is implemented in MATLAB. The simulation of the algorithms is tested in different conditions, with the time dependences determination. The research results of the computing time or the BLOB memory demand during computation are presented as well. The developed BLOB method is usable as one of the elementary image processing methods of the field detection dependencies in the images, like pattern recognition or OCR algorithm.cs
dc.language.isoencs
dc.publisherKauno technologijos universitetascs
dc.relation.ispartofseriesElektronika ir Elektrotechnikacs
dc.relation.urihttp://doi.org/10.5755/j01.eie.26.6.25770cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectimage processingcs
dc.subjectbinary imagecs
dc.subjectfield detectioncs
dc.subjectcontinuity detectioncs
dc.subjectcomputation timecs
dc.titleContinuity detection method in binary image signalcs
dc.typearticlecs
dc.identifier.doi10.5755/j01.eie.26.6.25770
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume26cs
dc.description.issue6cs
dc.description.lastpage9cs
dc.description.firstpage4cs
dc.identifier.wos000604932300001


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