Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
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Sharpness Enhancement of Tooth X-ray Images Through Elimination of Complicated Background

복잡한 배경 제거를 통한 치아 X-ray 영상의 선예도 개선

  • Kun-Woo Na (Department of Robotics Engineering, Hoseo University) ;
  • Keun-Ho Rew (Department of Robotics Engineering, Hoseo University)
  • Received : 2022.11.15
  • Accepted : 2023.01.05
  • Published : 2023.02.28
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Abstract

To remove unnecessary background from tooth X-ray images and enhance the sharpness of tooth and gum images, image processing techniques including contrast adjustment and histogram equalization are used. The introduction of two methods for detecting the boundary of the tooth and gum region and separating the tooth and gum from the background. In both cases, the background of the tooth X-ray images could be removed as a result, improving the quality of the images. The proposed method improves MTF (Modulation Transfer Function), an image performance indicator, as a result of measuring MTF. The original image's spatial frequency ranged from 4.73 to 11.40 lp/mm at the 10% response, whereas the proposed image's spatial frequency ranged from 10.90 to 11.85 lp/mm, giving uniformly enhanced results. In contrast, tooth and gums could not be completely separated from the background using Apple's Lift subject from background function.

Keywords

Acknowledgement

디지레이(주)의 영상 제공에 감사드립니다.

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