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Authors: Selma Guzel 1 ; Ayse Betul Oktay 2 and Kadir Tufan 3

Affiliations: 1 Gebze Institute of Technology, Turkey ; 2 Istanbul Medeniyet University, Turkey ; 3 Fatih University, Turkey

Keyword(s): Tooth detection, Tooth labeling, Haar, SVM, Atlas-based Model.

Related Ontology Subjects/Areas/Topics: Applications ; Bioinformatics and Systems Biology ; Computer Vision, Visualization and Computer Graphics ; Image Understanding ; Medical Imaging ; Pattern Recognition ; Software Engineering

Abstract: After catastrophes and mass disasters, accurate and efficient identification of decedents requires an automatic system which depends upon strong biometrics. In this paper, we present an automatic tooth detection and labeling system based on panoramic dental radiographs. Although our ultimate objective is to identify decedents by comparing the postmortem and antemortem dental radiographs, this paper only involves the tooth detection and the tooth labeling stages. In the system, the tooth regions are first determined and the detection module runs for each region individually. By employing the sliding window technique, the Haar features are extracted from each window and the SVM classifies the windows as tooth or not. The labeling module labels the candidate tooth positions determined by the SVM with an atlas-based model and the final tooth positions are inferred. The novelty of our system is combining the atlas-based model with the SVM under the same framework. We tested our system on 35 panoramic images and the results are promising. (More)

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Paper citation in several formats:
Guzel, S.; Betul Oktay, A. and Tufan, K. (2015). Automatic Tooth Identification in Dental Panoramic Images with Atlas-based Models. In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM; ISBN 978-989-758-077-2; ISSN 2184-4313, SciTePress, pages 136-141. DOI: 10.5220/0005179701360141

@conference{icpram15,
author={Selma Guzel. and Ayse {Betul Oktay}. and Kadir Tufan.},
title={Automatic Tooth Identification in Dental Panoramic Images with Atlas-based Models},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM},
year={2015},
pages={136-141},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005179701360141},
isbn={978-989-758-077-2},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM
TI - Automatic Tooth Identification in Dental Panoramic Images with Atlas-based Models
SN - 978-989-758-077-2
IS - 2184-4313
AU - Guzel, S.
AU - Betul Oktay, A.
AU - Tufan, K.
PY - 2015
SP - 136
EP - 141
DO - 10.5220/0005179701360141
PB - SciTePress