Automatic Tooth Identification in Dental Panoramic Images with Atlas-based Models

Selma Guzel, Ayse Betul Oktay, Kadir Tufan

2015

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.

Paper Citation

in Harvard Style

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, pages 136-141. DOI: 10.5220/0005179701360141

in Bibtex Style

@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},
}

in EndNote Style

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
AU - Guzel S.
AU - Betul Oktay A.
AU - Tufan K.
PY - 2015
SP - 136
EP - 141
DO - 10.5220/0005179701360141