Automatic Colony Segmentation on Agar Surface by Image Processing

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dc.authorid0000-0003-3144-8724en_US
dc.contributor.authorAltuntaş, Volkan
dc.contributor.authorAltuntaş, Seda
dc.contributor.authorGok, M.
dc.date.accessioned2021-03-20T20:13:06Z
dc.date.available2021-03-20T20:13:06Z
dc.date.issued2018
dc.departmentBTÜ, Rektörlüğe Bağlı Birimler, Bilgi İşlem Daire Başkanlığıen_US
dc.description.abstractThe Medium (Petri dish, media, agar plate, petri culture, agar culture) are environments that have been formulated for the growth of microorganisms. These structures which are formed by reproduced microorganisms and can be seen by eye are called colony. Colonies formed on the agar, creating images of different morphological characteristics depending on the microorganism and growth media. Colony counting which is required in many applications in areas such as biotechnology and pathology is boring, time consuming and prone to human error process when the large number of colonies counted by hand. In this article, the sample images collected from dairies in the Marmara region are studied on and segmentation methods for separating images of microorganism colonies which is used in the dairy industry for the determination of microbiological analysis of products, have been investigated by the computer-aided image processing techniques such as Otsu, Multi-Otsu, Color K-Means, Watershed, Gabor Filters, Graph Based, Lossy Compression, Random Walker, Texture Filters with proposed comparison method. It was concluded that existing segmentation methods with appropriate parameters can be used to solve this problem and in comparison to other algorithms, Watersheed segmentation algorithm has better performance values than others.en_US
dc.description.sponsorshipYalova UniversityYalova University; Bursa Technical UniversityBursa Technical Universityen_US
dc.description.sponsorshipThis research was financially supported by the Yalova University and Bursa Technical University.en_US
dc.identifier.endpage456en_US
dc.identifier.issn0022-4456
dc.identifier.issn0975-1084
dc.identifier.issue8en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage451en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/791
dc.identifier.volume77en_US
dc.identifier.wosWOS:000441480100004en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAltuntaş, Volkan
dc.language.isoenen_US
dc.publisherNatl Inst Science Communication-Niscairen_US
dc.relation.ispartofJournal Of Scientific & Industrial Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFood Microbiologyen_US
dc.subjectCFUen_US
dc.subjectImage Processingen_US
dc.subjectSegmentationen_US
dc.titleAutomatic Colony Segmentation on Agar Surface by Image Processingen_US
dc.typeArticleen_US

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WoS İndeksli Yayınlar Koleksiyonu
Bilgi İşlem Daire Başkanlığı Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu