Segmentation of ultrasonic images using fuzzy sets

dc.contributor.author	Çelebi, Hayriye
dc.contributor.author	Gündüzalp, Mustafa
dc.contributor.author	Karaman, Mustafa
dc.date.accessioned	2020-06-25T14:47:00Z
dc.date.available	2020-06-25T14:47:00Z
dc.date.issued	1996
dc.department	Kırıkkale Üniversitesi
dc.description.abstract	An image segmentation technique based on fuzzy sets for ultrasonic B-scans is presented. The fuzzy c-means algorithm is adapted to B-scan images. The classes constituting a region are obtained through fuzzy partitioning based on local statistics information. The performance of the method is tested on phantom and tissue images and the results are presented.	en_US
dc.identifier.citation	Çelebi, H., Gündüzalp, M., Karaman, M. (1996). Segmentation of ultrasonic images using fuzzy sets. Mathematical and Computational Applications, 1(2), 29 - 34.	en_US
dc.identifier.endpage	34	en_US
dc.identifier.issn	1300-686X
dc.identifier.issue	2	en_US
dc.identifier.startpage	29	en_US
dc.identifier.trdizinid	58073
dc.identifier.uri	https://app.trdizin.gov.tr/publication/paper/detail/TlRnd056TXo=
dc.identifier.uri	https://hdl.handle.net/20.500.12587/1532
dc.identifier.volume	1	en_US
dc.indekslendigikaynak	TR-Dizin
dc.language.iso	en
dc.relation.ispartof	Mathematical and Computational Applications
dc.relation.publicationcategory	Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı	en_US
dc.rights	info:eu-repo/semantics/openAccess	en_US
dc.subject	Matematik	en_US
dc.title	Segmentation of ultrasonic images using fuzzy sets	en_US
dc.type	Article

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