Decimation-Free Directional Filter Banks for Classification and Numbering on Posterior Dental Radiography Using Mesiodistal Neck Detection
Agus Zainal Arifin*, Anny Yuniarti*, Wijayanti Nurul Khotimah*,
Arya Yudhi Wijaya*, Ahmad Mustofa Hadi*, Naser Jawas**,
and Eha Renwi Astuti***
*Department of Informatics, Institut Teknologi Sepuluh Nopember (ITS), Kampus ITS, Surabaya, 60111, Indonesia
**Sekolah Tinggi Manajemen Informatika dan Teknik Komputer (STIKOM), Bali, Denpasar, Indonesia
***Department of Dental Radiography, Airlangga University, Surabaya, Indonesia
Dental classification and numbering on posterior dental radiography are important tasks for forensic and biomedical applications. This paper proposed a novel method of classification and numbering on posterior dental radiography using Decimation-Free Directional Filter Bank (DDFB) and mesiodistal neck detection. The method was started by a segmentation method for decomposing dental image into directional images using DDFB. Detection of mesiodistal neck tooth separated the crown and the root of teeth. Finally we used support vector machine for classification and numbering. The experimental results achieved a classification accuracy rate of 91%. It approved the robustness of the proposed method for solving the problem of dental classification and numbering.
Arya Yudhi Wijaya, Ahmad Mustofa Hadi, Naser Jawas, and
and Eha Renwi Astuti, “Decimation-Free Directional Filter Banks for Classification and Numbering on Posterior Dental Radiography Using Mesiodistal Neck Detection,” J. Adv. Comput. Intell. Intell. Inform., Vol.18, No.4, pp. 649-657, 2014.
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