| 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.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.issn | 1300-686X | |
| dc.identifier.uri | https://app.trdizin.gov.tr/publication/paper/detail/TlRnd056TXo= | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12587/1532 | |
| 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.language.iso | eng | 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 | en_US |
| dc.contributor.department | Kırıkkale Üniversitesi | en_US |
| dc.identifier.volume | 1 | en_US |
| dc.identifier.issue | 2 | en_US |
| dc.identifier.startpage | 29 | en_US |
| dc.identifier.endpage | 34 | en_US |
| dc.relation.journal | Mathematical and Computational Applications | en_US |
| dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
