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http://dx.doi.org/10.9717/kmms.2014.17.10.1171

Improved Tooth Detection Method for using Morphological Characteristic  

Na, Sung Dae (Dept. of Medical & Biological Eng., Graduate School, Kyungpook National University)
Lee, Gihyoun (Dept. of Biomedical Eng., Kyungpook National University Hospital)
Lee, Jyung Hyun (Dept. of Biomedical Eng., School of Medicine, Kyungpook National University)
Kim, Myoung Nam (Dept. of Biomedical Eng., School of Medicine, Kyungpook National University)
Publication Information
Journal of Korea Multimedia Society / v.17, no.10, 2014 , pp. 1171-1181 More about this Journal
Abstract
In this paper, we propose improved methods which are image conversion and extraction method of watershed seed using morphological characteristic of teeth on complement image. Conventional tooth segmentation methods are occurred low detection ratio at molar region and over, overlap segmentation owing to specular reflection and morphological feature of molars. Therefore, in order to solve the problems of the conventional methods, we propose the image conversion method and improved extraction method of watershed seed. First, the image conversion method is performed using RGB, HSI space of tooth image for to extract boundary and seed of watershed efficiently. Second, watershed seed is reconstructed using morphological characteristic of teeth. Last, individual tooth segmentation is performed using proposed seed of watershed by watershed algorithm. Therefore, as a result of comparison with marker controlled watershed algorithm and the proposed method, we confirmed higher detection ratio and accuracy than marker controlled watershed algorithm.
Keywords
Teeth; Detection; Seed; Morphological Characteristic; Image conversion;
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Times Cited By KSCI : 5  (Citation Analysis)
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