DocumentCode :
2318699
Title :
An effective tooth isolation method for bitewing dental X-ray images
Author :
Huang, Po-whei ; Lin, Phen-lan ; Kuo, Chun-hung ; Cho, Y.S.
Author_Institution :
Dept. of Comput. Sci. & Eng., Nat. Chung-Hsing Univ., Taichung, Taiwan
Volume :
5
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
1814
Lastpage :
1820
Abstract :
Tooth isolation is a very important pre-processing step for both computer-aided dental diagnosis and automatic dental identification systems. The accuracy of tooth isolation will directly affect the accuracy of feature extraction and thereby the final results of both types of systems. This paper presents a very effective and fully automatic tooth isolation method for bitewing dental X-ray images. Our upper-lower jaw separation mechanism is based on gray-scale integral projection to avoid possible information loss and incorporates with angle adjustment to handle skewed images. In single tooth isolation, we propose an adaptive windowing scheme for locating gap valleys to improve the accuracy. Furthermore, excessive isolation-curves can be removed and separating lines can be added to indicate the locations of missing teeth. Experimental results show that our method achieves higher tooth isolation accuracy rates for both upper- and lower-jaw images, when compared to Nomir and Abdel-Mottaleb´s method.
Keywords :
X-ray imaging; dentistry; feature extraction; medical image processing; adaptive windowing scheme; automatic dental identification systems; bitewing dental X-ray images; computer-aided dental diagnosis; feature extraction; gray-scale integral projection; lower-jaw images; tooth isolation method; upper-jaw images; upper-lower jaw separation mechanism; Abstracts; X-ray imaging; Adaptive windowing; Bitewing dental radiograph; Isolation-curve verification; Missing-teeth detection; Tooth isolation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2160-133X
Print_ISBN :
978-1-4673-1484-8
Type :
conf
DOI :
10.1109/ICMLC.2012.6359651
Filename :
6359651
Link To Document :
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