Rotation invariant texture classification using directional filter bank and support vector machine

2005 ◽  
Author(s):  
Hong Man ◽  
Ling Chen ◽  
Rong Duan
Keyword(s):  
Support Vector Machine ◽  
Filter Bank ◽  
Texture Classification ◽  
Support Vector ◽  
Rotation Invariant ◽  
Directional Filter Bank ◽  
Directional Filter

scholarly journals Decimation-Free Directional Filter Banks for Classification and Numbering on Posterior Dental Radiography Using Mesiodistal Neck Detection

2014 ◽  
Vol 18 (4) ◽  
pp. 649-657
Author(s):  
Agus Zainal Arifin ◽  
◽  
Anny Yuniarti ◽  
Wijayanti Nurul Khotimah ◽  
Arya Yudhi Wijaya ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Classification Accuracy ◽  
Biomedical Applications ◽  
Filter Bank ◽  
Dental Radiography ◽  
Support Vector ◽  
Segmentation Method ◽  
Accuracy Rate ◽  
Directional Filter ◽  
Novel Method

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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