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

fYear

2012

fDate

16-18 May 2012

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ECTICon.2012.6254347

Filename

6254347