Automatic colony segmentation on agar surface by image processing

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dc.contributor.authorAltuntaş, Volkan
dc.contributor.authorAltuntas, Seda
dc.contributor.authorGök, Murat
dc.date.accessioned2026-02-12T21:02:50Z
dc.date.available2026-02-12T21:02:50Z
dc.date.issued2018
dc.departmentBursa Teknik Üniversitesi
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. © 2018 Scientific Publishers. All rights reserved.
dc.identifier.endpage456
dc.identifier.issn0022-4456
dc.identifier.issue8
dc.identifier.scopus2-s2.0-85065505970
dc.identifier.scopusqualityQ2
dc.identifier.startpage451
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6571
dc.identifier.volume77
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherScientific Publishers
dc.relation.ispartofJournal of Scientific and Industrial Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.snmzKA_Scopus_20260212
dc.subjectCFU
dc.subjectFood microbiology
dc.subjectImage processing
dc.subjectSegmentation
dc.titleAutomatic colony segmentation on agar surface by image processing
dc.typeArticle

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