Title :
Tooth recognition in dental radiographs via Hu´s moment invariants
Author :
Pattanachai, Nakintom ; Covavisaruch, Nongluk ; Sinthanayothin, Chanjira
Author_Institution :
Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand
Abstract :
This paper presents a method to recognize a tooth in dental X-ray images using Hu´s moment invariants. The proposed method starts with digitizing dental radiographic films. Next, rectangular bounding boxes of target teeth in the X-ray images are manually specified. The process continues with enhancing the X-ray image with histogram equalization. The teeth are segmented with the assistance of Otsu´s method. The next step is to calculate Hu´s moment invariants that are used as the teeth´s features. Finally, tooth recognition is done by feature matching with Euclidian distance.
Keywords :
dentistry; diagnostic radiography; image enhancement; image matching; medical image processing; Euclidian distance; Hu moment invariants; X-ray image enhancement; dental X-ray images; dental radiographic film digitisation; dental radiographs; feature matching; histogram equalization; tooth recognition; Dentistry; Image recognition; Image segmentation; Portfolios; X-ray imaging; Hu´s moment invariants; dental X-ray images; dental radiographic films; tooth recognition;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2012 9th International Conference on
Conference_Location :
Phetchaburi
Print_ISBN :
978-1-4673-2026-9
DOI :
10.1109/ECTICon.2012.6254347
