A single tooth segmentation using pca-stacked gabor filter and active contour

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Author list: Choorat P., Chiracharit W., Chamnongthai K., Onoye T.

Publisher: Institute of Electronics, Information and Communication Engineers

Publication year: 2013

Journal: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (0916-8508)

Volume number: E96-A

Issue number: 11

Start page: 2169

End page: 2178

Number of pages: 10

ISSN: 0916-8508

eISSN: 1745-1337

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84888584712&doi=10.1587%2ftransfun.E96.A.2169&partnerID=40&md5=7d2fc7c79ef83908aa76db9f9769cf17

Languages: English-Great Britain (EN-GB)

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Abstract

In tooth contour extraction there is insufficient intensity difference in x-ray images between the tooth and dental bone. This difference must be enhanced in order to improve the accuracy of tooth segmentation. This paper proposes a method to improve the intensity between the tooth and dental bone. This method consists of an estimation of tooth orientation (intensity projection, smoothing filter, and peak detection) and PCA-Stacked Gabor with ellipse Gabor banks. Tooth orientation estimation is performed to determine the angle of a single oriented tooth. PCAStacked Gabor with ellipse Gabor banks is then used, in particular to enhance the border between the tooth and dental bone. Finally, active contour extraction is performed in order to determine tooth contour. In the experiment, in comparison with the conventional active contour without edge (ACWE) method, the average mean square error (MSE) values of extracted tooth contour points are reduced from 26.93% and 16.02% to 19.07% and 13.42% for tooth x-ray type I and type H images, respectively. Copyright ฉ 2013 The Institute of Electronics, Information and Communication Engineers.

Keywords

Active contour without edge, Dental x-ray image, Human identification, Intensity projection, PCA-Stacked gabor, Peak detection, Smoothing filter, Tooth feature extraction