Journal of radiological science and technology (대한방사선기술학회지:방사선기술과학)

Korean Society of Radiological Science (대한방사선과학회)
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A Study on Technique for Image Quality Enhancement to Maximize Container Inspection Efficiency

컨테이너 검사 효율 극대화를 위한 화질 향상 기법 연구

  • Lee, Chang-Ho (Department of Emergency Management, Inje University) ;
  • Shin, Ji-Hye (Department of Emergency Management, Inje University) ;
  • Kim, Jang-Oh (Department of Emergency Management, Inje University) ;
  • Jung, Young-Jin (Department of Radiological Science, Dongseo University) ;
  • Min, Byung-In (Department of Nuclear Applied Engineering, Inje University)
  • 이창호 (인제대학교 재난관리학과) ;
  • 신지혜 (인제대학교 재난관리학과) ;
  • 김장오 (인제대학교 재난관리학과) ;
  • 정영진 (동서대학교 방사선학과) ;
  • 민병인 (인제대학교 원자력응용공학부)
  • Received : 2017.09.06
  • Accepted : 2017.10.29
  • Published : 2017.12.31
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Abstract

The purpose of this study is to present the algorithm to minimize the image noise caused by deterioration of high X-ray container inspection equipment and the faulty detection sensors, and to improvement quality of the container inspection images using MATLAB Toolbox. The daily checking images for the container inspection were used with the subject images and the noise caused by the horizontal and vertical images was evaluated with Root Mean Square (RMS) method, which is the most basic evaluation method of digital radiation image. Also, quality of the improved images was evaluated compared to quality of the orignal images. As a result, all RMS value of the improved images was lower then the original images by a mean of 13.5% in the horizontal images and 18.2% in the vertical images respectively. Also so did RMS value of the improved container images, by a mean of 13.4% in the horizontal images and 19.1% in the vertical images respectively. These findings can be verified objectively and visually and they would help the reading process of the container images be effective in Korea Customs Service.

본 연구에서는 컨테이너 엑스선 검색기의 노후화, 검출 감지기(Sensor) 불량으로 발생되는 검색영상의 잡음(Noise)을 줄이기 위한 알고리즘을 제시고 MATLAB 툴박스에 이를 적용하여 컨테이너 검색영상의 화질(Image Quality)을 개선하고자 하였다. 검색영상은 일반적인 컨테이너 검색기 작동 점검을 위한 일일 점검영상을 활용하였으며 일일점검영상의 수평 영상과 수직 영상을 기준으로 잡음(Noise)을 디지털 방사선 영상에서 가장 기본으로 사용되는 잡음평가 방법인 제곱평균제곱근(Root Mean Square; RMS)으로 평가하였다. 또한 개선된 알고리즘을 실제 컨테이너검색영상에 적용하여 일일 점검영상과 실제 컨테이너 검색영상의 화질을 평가하였다. 그 결과 제곱평균제곱근이 일일 점검영상에서는 수평 영상에서 원본 영상 대비 평균 13.5%, 수직 영상에서는 원본 영상 대비 평균 18.2% 가 낮은 결과치를 나타내었다. 또한 실제 컨테이너 검색영상에서는 수평 영상에서 원본 영상 대비 평균 13.4%, 수직 영상에서는 원본 영상 대비 19.1%가 낮은 결과치를 나타내었다. 이는 영상의 화질개선을 객관적, 시각적으로 확인할 수 있었으며 관세청의 컨테이너 검색영상 판독 업무에 큰 도움이 될 것이라 사료된다.

Keywords

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