Duman, ElvanKokver, YunusUnver, Halil MuratErdem, Osman Ayhan2020-06-252020-06-252017closedAccess978-1-5386-1723-6https://hdl.handle.net/20.500.12587/707110th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 30-DEC 02, 2017 -- Bursa, TURKEYKOKVER, YUNUS/0000-0002-9864-2866; Erdem, Ayhan/0000-0001-7761-1078In 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.eninfo:eu-repo/semantics/closedAccessConference Object5835872-s2.0-85046285270N/AWOS:000426978800096N/A