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http://dx.doi.org/10.9723/jksiis.2018.23.1.001

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

Lee, TaeBum (충북대학교 대학원 정보통신공학전공)
Kang, HyunSoo (충북대학교 정보통신공학부)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.23, no.1, 2018 , pp. 1-12 More about this Journal
Abstract
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.
Keywords
Discrimination Curve; Dual-Energy; High-Energy X-Ray; Material Estimation;
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Times Cited By KSCI : 1  (Citation Analysis)
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