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Jaya Algorithm-Assisted Evaluation of Tooth Elements Using Digital Bitewing Radiography Images

Jaya Algorithm-Assisted Evaluation of Tooth Elements Using Digital Bitewing Radiography Images
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Author(s): Kesavan Suresh Manic (Caledonian College of Engineering, Oman), Imad Saud Al Naimi (Caledonian College of Engineering, Oman), Feras N. Hasoon (Caledonian College of Engineering, Oman)and V. Rajinikanth (St. Joseph's College of Engineering, India)
Copyright: 2019
Pages: 22
Source title: Computational Techniques for Dental Image Analysis
Source Author(s)/Editor(s): K. Kamalanand (Anna University, India), B. Thayumanavan (Sathyabama University Dental College and Hospital, India)and P. Mannar Jawahar (Anna University, India)
DOI: 10.4018/978-1-5225-6243-6.ch005

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Abstract

A considerable number of heuristic procedures are widely implemented to evaluate biomedical images. This chapter proposes an evaluation procedure for digital bitewing radiography (DBR) images using the Jaya algorithm. The proposed procedure implements an image processing technique by integrating of the multi-thresholding and segmentation procedure to extract the essential tooth elements recorded with DBR. In this paper, 80 dental x-ray images are considered for the evaluation. The performance of the proposed procedure is confirmed using a relative assessment between the extracted section and its corresponding ground-truth. The results of this study confirm that, for most of the DBR cases, the proposed approach offers better values of picture likeliness measures. Hence, this technique can be considered for the automated detection of tooth elements from the DBR obtained from clinics.

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