한국산업정보학회논문지 (Journal of Korea Society of Industrial Information Systems)

한국산업정보학회 (Korea Society of Industrial Information Systems)
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화물 검색 시스템을 위한 듀얼 에너지 X-ray 검색기 영상을 이용한 물질 추정 방법

Material Estimation Method Using Dual-Energy X-Ray Image for Cargo Inspection System

  • 이태범 (충북대학교 대학원 정보통신공학전공) ;
  • 강현수 (충북대학교 정보통신공학부)
  • 투고 : 2018.01.08
  • 심사 : 2018.02.12
  • 발행 : 2018.02.28
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초록

본 논문은 듀얼 에너지 X-ray 검색기의 영상을 이용한 물질의 추정 방법 알고리즘을 제안한다. 물질 추정 알고리즘으로 많이 사용되는 기존 4가지 분별 곡선 이외에 로그 함수를 사용한 새로운 분별곡선을 이용하여 물질을 분류한다. 여기에 기존의 선형 보간을 이용한 원자번호 추정 방법이 아닌 확률분포를 이용한 원자번호 추정 방법을 제시한다. 확률분포를 이용한 가중치 계산에는 근접한 두 기준물질을 사용하는 방법과 모든 기준물질을 사용하는 방식, 2가지 방식을 실험하였다. 확률분포를 가중치로 사용하여 물질의 원자번호를 추정 할 경우 기존의 방법보다 더 정확한 원자번호 추정 결과를 나타내었다. 추정된 원자번호를 육안으로 확인하기 위하여 HSI 모델을 이용하여 결과영상에 채색하였다.

This paper presents a material estimation method using dual-energy X-ray images generated as a result of cargo inspection system in MeV region. We use new discrimination curve using logarithmic function rather than four discrimination curves commonly used in existing estimation algorithms. We also propose an atomic number estimation using the probability distribution of the logarithmic curve rather than linear interpolation. When the probability distribution is used as a weight, we used two methods of using the weight for the two nearest reference materials and the weight for all the reference materials. Experimental results showed that the atomic number estimation of materials using the probability distribution as a weight is more accurate than the existing methods. In order to visualize the estimated atomic number, the HSI model was used for color the resulting image.

키워드

참고문헌

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피인용 문헌

  1. X-Ray 어레이 검출 모듈 신호처리 시스템 개발 vol.23, pp.10, 2018, https://doi.org/10.6109/jkiice.2019.23.10.1298