| dc.contributor.author | Öztürk N. | |
| dc.contributor.author | Öztürk S. | |
| dc.date.accessioned | 2019-09-01T12:50:04Z | |
| dc.date.available | 2019-09-01T12:50:04Z | |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 9781538668788 | |
| dc.identifier.uri | https://dx.doi.org/10.1109/IDAP.2018.8620739 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12450/491 | |
| dc.description | 2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 -- 28 September 2018 through 30 September 2018 -- | en_US |
| dc.description.abstract | Image segmentation is an important image processing method. The segmentation method, which is a process of dividing into different regions, is a meaningful according to certain features of the image. In this paper, histogram based, edge based, region based and active contour methods most widely used in image segmentation methods are investigated. Advantages and disadvantages of these methods are explained and the effects of these methods on the image are compared. © 2018 IEEE. | en_US |
| dc.language.iso | tur | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.isversionof | 10.1109/IDAP.2018.8620739 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | active contour | en_US |
| dc.subject | edge-based segmentation | en_US |
| dc.subject | histogram-based | en_US |
| dc.subject | Image segmentation | en_US |
| dc.subject | region-based | en_US |
| dc.title | Görüntü Bölütleme Yöntemlerinin Karşilaştirilmasi | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | 2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.contributor.department-temp | Öztürk, N., Gümüşhaciköy Hasan Duman MYO, Amasya Üniversitesi, Amasya, Turkey -- Öztürk, S., Mühendislik Fakültesi, Erciyes Üniversitesi, Kayseri, Turkey | en_US |
