A Computer Vision System for Classification of Some Euphorbia (Euphorbiaceae) Seeds Based on Local Binary Patterns

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dc.authoridCaliskan, Abidin/0000-0001-5039-6400
dc.contributor.authorKaya, Yilmaz
dc.contributor.authorKarabacak, Osman
dc.contributor.authorCaliskan, Abidin
dc.date.accessioned2024-12-24T19:23:55Z
dc.date.available2024-12-24T19:23:55Z
dc.date.issued2013
dc.departmentSiirt Üniversitesi
dc.description21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS
dc.description.abstractIn this study, a computer vision system was proposed for the seed images classification. The classification process was performed using uniform local binary patterns obtained from digital seed images. In this study, 240 (120 training and 120 test) images of the seed were used. First, the average uniform histograms of each type of seed (seed type classes) was obtained for the training set. Then the uniform LBP histogram of each seed in the test set were produced and compared with histograms of classes by using nearest neighbor. The Euclidean distance, sum square error, histogram intersection and Chi-square statistics were used to calculate the distance between seed samples. 95.83%. of seed images has been diagnosed properly with the proposed. As a result, the surface shape of the seeds include important information patterns to determine the taxonomic relationships, it is is expected that the computer vision systems provide significant advantages to identify the type of seed.
dc.identifier.isbn978-1-4673-5563-6
dc.identifier.isbn978-1-4673-5562-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84880884860
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12604/5750
dc.identifier.wosWOS:000325005300113
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectComputer vision
dc.subjectPattern recognation
dc.subjectflowerseeds
dc.subjectlocal binary patterns
dc.titleA Computer Vision System for Classification of Some Euphorbia (Euphorbiaceae) Seeds Based on Local Binary Patterns
dc.title.alternativeBazi euphorbia (Euphorbiaceae) tohum türlerinin siniflandirilmasi için yerel ikili örüntüler tabanli bir bilgisayar görü sistemi
dc.typeConference Object

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