NDLI: An automatic lesion detection method for dental x-ray images by segmentation using variational level set

Content Provider	IEEE Xplore Digital Library
Author	Phen-Lan Lin Po-Ying Huang Po-Whei Huang
Copyright Year	2012
Description	Author affiliation: Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan, ROC (Phen-Lan Lin) \|\| Department of Computer Science and Engineering, National Chung-Hsing University, Taichung, Taiwan, ROC (Po-Ying Huang; Po-Whei Huang)
Abstract	Dental radiographs have been widely used by dentists in finding periodontal lesions or monitoring the progress of the periodontal defect treatment that is either impossible or difficult for human naked eyes. In this paper we propose a fully automatic gums lesion detection method for periapical dental X-ray images. The method includes two stages: (i) teeth- parts removing and (ii) lesion-region localization and severance labeling. In stage (i), morphological operations and histogram equalizations are first applied to enlarge the contrast between teeth and gums parts, then thresholding is used to separate the two types of regions. In stage (ii), gums-parts are first segmented into regions of normal, possible lesion or lesion, and serious lesion using a level set method with three coupled level set functions, and then the possible lesion or lesion region are further segmented into lesion and possible lesion regions using the same level set method. The experimental results demonstrate that our proposed method can detect and label all lesion regions in six periapical dental X-ray images which conform very well to human visual perception, and is robust to illumination variation to ± 30 intensity levels, as well.
Starting Page	1821
Ending Page	1825
File Size	728283
Page Count	5
File Format	PDF
ISBN	9781467314848
ISSN	2160133X
e-ISBN	9781467314879
DOI	10.1109/ICMLC.2012.6359652
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation X-ray imaging Abstracts Histograms Lesions Humans FAA Illumination variation Periapical dental X-ray images Automatic lesion detection Variational level set method
Content Type	Text
Resource Type	Article

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