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, Eha Renwi Astuti

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)649-657
Number of pages9
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume18
Issue number4
DOIs
Publication statusPublished - Jul 2014

Keywords

  • Decimation-free directional filter banks
  • Dental classification
  • Dental numbering
  • Dental radiography
  • Mesiodistal neck

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