Automatic detection of petiole border in plant leaves

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dc.authoridElen, Abdullah/0000-0003-1644-0476
dc.authoridAVUCLU, Emre/0000-0002-1622-9059
dc.contributor.authorElen, Abdullah
dc.contributor.authorAvuclu, Emre
dc.date.accessioned2024-09-29T16:04:55Z
dc.date.available2024-09-29T16:04:55Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractPlants are our source of oxygen and nutrients on earth. Therefore, conservation of biodiversity is vital for the survival of other species. With the developing technology, plant species can be examined more closely. Image processing, which is a subject of computer science, has an important role in this field. In this study, an image processing-based method has been developed to automatically separate the petiole region of the plant leaves. To determine the boundary line of the petiole region, the cumulative pixel distributions of the input images in binary format according to the X- and Y-axis are analyzed. Accordingly, optimum thresholds and petiole boundary points are determined. The proposed method was tested on 795 leaf images from 90 different plant species that grow both as trees and shrubs in the Czech Republic. According to the results obtained in experimental studies, it is thought that the proposed method will make an important contribution especially in studies such as automatic classification of plants and leaves and determination of plant species in botanical science.en_US
dc.identifier.doi10.1177/0020294020917701
dc.identifier.endpage456en_US
dc.identifier.issn0020-2940
dc.identifier.issn2051-8730
dc.identifier.issue3-4en_US
dc.identifier.scopus2-s2.0-85085515503en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage446en_US
dc.identifier.urihttps://doi.org/10.1177/0020294020917701
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6407
dc.identifier.volume54en_US
dc.identifier.wosWOS:000642596000027en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSage Publications Ltden_US
dc.relation.ispartofMeasurement & Controlen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPetiole borderen_US
dc.subjectleaf segmentationen_US
dc.subjectimage processingen_US
dc.titleAutomatic detection of petiole border in plant leavesen_US
dc.typeArticleen_US

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