Dental Radiograph-Based Tooth Isolation Using Vertical Integral Approach for Segmentation and Connected Component Labelling for Dental Caries Detection

Muhammad Ali Bohyo; Mariya Qazi; Sarmad Shams; Wajiha Ashba; Wardah Syed; Wardah Rashid; Amara Iqbal

doi:10.2991/978-94-6463-602-4_20

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Dental Radiograph-Based Tooth Isolation Using Vertical Integral Approach for Segmentation and Connected Component Labelling for Dental Caries Detection

Authors

Muhammad Ali Bohyo¹^{, *}, Mariya Qazi¹, Sarmad Shams¹, Wajiha Ashba¹, Wardah Syed¹, Wardah Rashid¹, Amara Iqbal¹

¹Liaquat University of Medical and Health Sciences, Jamshoro, Pakistan

^*Corresponding author. Email: ali@lumhs.edu.pk

Corresponding Author

Muhammad Ali Bohyo

Available Online 24 December 2024.

DOI: 10.2991/978-94-6463-602-4_20 How to use a DOI?
Keywords: Dental cavity; Cavity detection; cavity segmentation
Abstract: The study is based on analyzing dental radiographs for diagnostic accuracy in context of dental image based diagnostic systems. Periapical view radiographs with caries have been used for segmentation and feature extraction of teeth. The study is based on separation of affected teeth and segmentation of teeth from dental radiograph and checking each tooth for caries detection. The radiographs are obtained from the Institute of Dentistry, at Liaquat University of Medical & Health Sciences, Jamshoro. The obtained radiographs are enhanced using thresholding, erosion, dilation and then separated using vertical integral approach. The separated tooth has been checked for cavity detection, which has been done using k-means clustering. We have seen promising results for cavity detection with the detection metric of 95.45%. The results show the significance of the proposed technique, which may be used as a preprocessing technique for machine learning algorithms.
Copyright: © 2024 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 4th International Conference on Key Enabling Technologies (KEYTECH 2024)
Series: Atlantis Highlights in Engineering
Publication Date: 24 December 2024
ISBN: 978-94-6463-602-4
ISSN: 2589-4943
DOI: 10.2991/978-94-6463-602-4_20 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Muhammad Ali Bohyo
AU  - Mariya Qazi
AU  - Sarmad Shams
AU  - Wajiha Ashba
AU  - Wardah Syed
AU  - Wardah Rashid
AU  - Amara Iqbal
PY  - 2024
DA  - 2024/12/24
TI  - Dental Radiograph-Based Tooth Isolation Using Vertical Integral Approach for Segmentation and Connected Component Labelling for Dental Caries Detection
BT  - Proceedings of the 4th International Conference on Key Enabling Technologies (KEYTECH 2024)
PB  - Atlantis Press
SP  - 138
EP  - 144
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-602-4_20
DO  - 10.2991/978-94-6463-602-4_20
ID  - Bohyo2024
ER  -

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