Decimation-Free Directional Filter Banks for Classification and Numbering on Posterior Dental Radiography Using Mesiodistal Neck Detection
Author(s) -
Agus Zainal Arifin,
Anny Yuniarti,
Wijayanti Nurul Khotimah,
Arya Yudhi Wijaya,
Ahmad Mustofa Hadi,
Naser Jawas,
Eha Renwi Astuti
Publication year - 2014
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2014.p0649
Subject(s) - numbering , computer science , radiography , robustness (evolution) , artificial intelligence , segmentation , decimation , pattern recognition (psychology) , computer vision , filter (signal processing) , medicine , radiology , algorithm , biochemistry , chemistry , gene
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.
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