Automatic Landmark Detection through Circular Hough Transform in Cephalometric X-rays
dc.contributor.author | Duman, Elvan | |
dc.contributor.author | Kokver, Yunus | |
dc.contributor.author | Unver, Halil Murat | |
dc.contributor.author | Erdem, Osman Ayhan | |
dc.date.accessioned | 2020-06-25T18:23:20Z | |
dc.date.available | 2020-06-25T18:23:20Z | |
dc.date.issued | 2017 | |
dc.department | Kırıkkale Üniversitesi | |
dc.description | 10th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 30-DEC 02, 2017 -- Bursa, TURKEY | |
dc.description | KOKVER, YUNUS/0000-0002-9864-2866; Erdem, Ayhan/0000-0001-7761-1078 | |
dc.description.abstract | In this paper, a knowledge based framework is proposed to detect automatically cephalometric landmarks: Porion (Po), Sella (S), Menton (Me), Pogonion (Pg) and Gnathion (Gn). In this way anomalies can be diagnosed easily by orthodontists. Our framework comprise of two main steps: (1) Adaptive Histogram Equalisation (AHE) is applied to clarify the image which is used to determine the method of treatment in orthodontics and obtained from the plain X-ray. (2) Circular Hough Transform method is used to locate the cephalometric landmarks automatically on the processed image, the method was tested on 7 cephalometric images and our framework accurately and automatically locates these 5 cephalometric landmarks. | en_US |
dc.description.sponsorship | Chamber Elect Engineers Bursa Sect Branch, Uludag Univ, Fac Engn, Dept Elect & Elect Engn, Istanbul Tech Univ, Fac Elect & Elect Engn, Sci & Technolog Res Council Turkey, IEEE Turkey Sect | en_US |
dc.identifier.citation | closedAccess | en_US |
dc.identifier.endpage | 587 | en_US |
dc.identifier.isbn | 978-1-5386-1723-6 | |
dc.identifier.scopus | 2-s2.0-85046285270 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 583 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12587/7071 | |
dc.identifier.wos | WOS:000426978800096 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 2017 10Th International Conference On Electrical And Electronics Engineering (Eleco) | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.title | Automatic Landmark Detection through Circular Hough Transform in Cephalometric X-rays | en_US |
dc.type | Conference Object |
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