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http://dx.doi.org/10.9717/kmms.2013.16.10.1135

Tooth Region Segmentation by Oral Cavity Model and Watershed Algorithm  

Na, S.D. (경북대학교 대학원 의용생체공학과)
Lee, G.H. (경북대학교 대학원 의용생체공학과)
Lee, J.H. (칠곡 경북대학교병원 의공학과)
Kim, M.N. (경북대학교 의학전문대학원 의공학교실)
Publication Information
Journal of Korea Multimedia Society / v.16, no.10, 2013 , pp. 1135-1146 More about this Journal
Abstract
In this paper, we proposed a new algorithm for individual tooth region segmentation on tooth color images. The proposed algorithm used oral cavity model based on structural feature of tooth and new boundary of watershed algorithm. First, the gray scale image is obtained with emphasized tooth regions from the color images and unnecessary regions are removed on tooth images. Next, the image enhancement of tooth images is implemented using the proposed oral cavity model, and the individual tooth regions are segmented by watershed algorithm on the enhanced images. Boundary and seeds necessary to watershed algorithm are applied boundary of binary image using minimum thresholding and region maximum value. In order to evaluate performance of proposed algorithm, we conduct experiment to compare conventional algorithm with proposed algorithm. As a result of experiment, we confirmed that the proposed algorithm is more improved detection ratio than conventional algorithm at molar regions and the tooth region detection performance is improved by preventing overlap detection on oral cavity.
Keywords
Tooth; Image segmentation; Watershed; Image enhancement;
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Times Cited By KSCI : 6  (Citation Analysis)
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