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Detection of Oral and Dental Tissue from the Biomaterials Used in Teeth Using Medical Image Processing Technique

Received: 11 May 2021    Accepted: 8 July 2021    Published: 16 July 2021
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Abstract

Oral disease is one of the most common causes of death in some countries. Changing habits and diet, not observing oral hygiene, neglecting the importance and health of teeth are the most important causes of oral diseases, these diseases may be specific to the oral cavity or may contribute to the disease in humans as part of an incompatible substance. In the meantime, the field of image processing has been proposed to provide automatic systems for disease diagnosis. Among medical image processing methods, image edging is the process of identifying and changing the display of an image. The purpose of this study is to use the edge recognition method and compare it with previous algorithms to be able to more accurately identify oral tissue from biological materials used in teeth than in the past. In the present study, using the method of Image segmentation (edge detection) is labeled for each pixel, so that pixels with the same label have similar properties. Oral and dental tissue segmentation was performed. Quantitative analysis of the results showed an accuracy of over 80% of the proposed method for oral tissue diagnosis. So that by using the results, it is possible to best identify a person who has a lesion in the tooth or oral tissue.

Published in International Journal of Dental Medicine (Volume 7, Issue 2)
DOI 10.11648/j.ijdm.20210702.11
Page(s) 15-19
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Oral Tissue, Dental Images, Edge Detection, Segmentation, Image Processing

References
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Cite This Article
  • APA Style

    Sahand Shahalinejad. (2021). Detection of Oral and Dental Tissue from the Biomaterials Used in Teeth Using Medical Image Processing Technique. International Journal of Dental Medicine, 7(2), 15-19. https://doi.org/10.11648/j.ijdm.20210702.11

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    ACS Style

    Sahand Shahalinejad. Detection of Oral and Dental Tissue from the Biomaterials Used in Teeth Using Medical Image Processing Technique. Int. J. Dent. Med. 2021, 7(2), 15-19. doi: 10.11648/j.ijdm.20210702.11

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    AMA Style

    Sahand Shahalinejad. Detection of Oral and Dental Tissue from the Biomaterials Used in Teeth Using Medical Image Processing Technique. Int J Dent Med. 2021;7(2):15-19. doi: 10.11648/j.ijdm.20210702.11

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  • @article{10.11648/j.ijdm.20210702.11,
      author = {Sahand Shahalinejad},
      title = {Detection of Oral and Dental Tissue from the Biomaterials Used in Teeth Using Medical Image Processing Technique},
      journal = {International Journal of Dental Medicine},
      volume = {7},
      number = {2},
      pages = {15-19},
      doi = {10.11648/j.ijdm.20210702.11},
      url = {https://doi.org/10.11648/j.ijdm.20210702.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdm.20210702.11},
      abstract = {Oral disease is one of the most common causes of death in some countries. Changing habits and diet, not observing oral hygiene, neglecting the importance and health of teeth are the most important causes of oral diseases, these diseases may be specific to the oral cavity or may contribute to the disease in humans as part of an incompatible substance. In the meantime, the field of image processing has been proposed to provide automatic systems for disease diagnosis. Among medical image processing methods, image edging is the process of identifying and changing the display of an image. The purpose of this study is to use the edge recognition method and compare it with previous algorithms to be able to more accurately identify oral tissue from biological materials used in teeth than in the past. In the present study, using the method of Image segmentation (edge detection) is labeled for each pixel, so that pixels with the same label have similar properties. Oral and dental tissue segmentation was performed. Quantitative analysis of the results showed an accuracy of over 80% of the proposed method for oral tissue diagnosis. So that by using the results, it is possible to best identify a person who has a lesion in the tooth or oral tissue.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Detection of Oral and Dental Tissue from the Biomaterials Used in Teeth Using Medical Image Processing Technique
    AU  - Sahand Shahalinejad
    Y1  - 2021/07/16
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ijdm.20210702.11
    DO  - 10.11648/j.ijdm.20210702.11
    T2  - International Journal of Dental Medicine
    JF  - International Journal of Dental Medicine
    JO  - International Journal of Dental Medicine
    SP  - 15
    EP  - 19
    PB  - Science Publishing Group
    SN  - 2472-1387
    UR  - https://doi.org/10.11648/j.ijdm.20210702.11
    AB  - Oral disease is one of the most common causes of death in some countries. Changing habits and diet, not observing oral hygiene, neglecting the importance and health of teeth are the most important causes of oral diseases, these diseases may be specific to the oral cavity or may contribute to the disease in humans as part of an incompatible substance. In the meantime, the field of image processing has been proposed to provide automatic systems for disease diagnosis. Among medical image processing methods, image edging is the process of identifying and changing the display of an image. The purpose of this study is to use the edge recognition method and compare it with previous algorithms to be able to more accurately identify oral tissue from biological materials used in teeth than in the past. In the present study, using the method of Image segmentation (edge detection) is labeled for each pixel, so that pixels with the same label have similar properties. Oral and dental tissue segmentation was performed. Quantitative analysis of the results showed an accuracy of over 80% of the proposed method for oral tissue diagnosis. So that by using the results, it is possible to best identify a person who has a lesion in the tooth or oral tissue.
    VL  - 7
    IS  - 2
    ER  - 

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Author Information
  • Department of Bio Medical Engineering, Urmia Graduate Institute, Urmia, Iran

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