Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2016, Vol. 27 ›› Issue (1): 25 doi: 10.1007/s41365-016-0019-4


A curve-based material recognition method in MeV dual-energy X-ray imaging system

Zhi-Qiang Chen 1,2, Tiao Zhao 1,2, Liang Li 1,2   

  1. 1. Department of Engineering Physics, Tsinghua University, Beijing, 100084, China
    2. Key Laboratory of Particle and Radiation Imaging (Tsinghua University), Ministry of Education, Beijing, 100084, China
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Zhi-Qiang Chen, Tiao Zhao, Liang Li. A curve-based material recognition method in MeV dual-energy X-ray imaging system.Nuclear Science and Techniques, 2016, 27(1): 25     doi: 10.1007/s41365-016-0019-4


High-energy dual-energy X-ray digital radiography imaging is mainly used in the material recognition of cargo inspection. We introduce the development history and principle of the technology and describe the data process flow of our system. The system corrects original data to get a dual-energy transparence image. Material categories of all points in the image are identified by the classification curve, which is related to the X-ray energy spectrum. For the calibration of classification curve, our strategy involves a basic curve calibration and a real-time correction devoted to enhancing the classification accuracy. Image segmentation and denoising methods are applied to smooth the image. The image contains more information after colorization. Some results show that our methods achieve the desired effect.

Key words: High energy, Dual energy, Digital radiography, Material recognition