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

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Abstract

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.

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Acknowledgments

This study was supported by National Natural Science Foundation of China (Nos. 11235007 and 10905030).

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Authors and Affiliations

  1. Department of Engineering Physics, Tsinghua University, Beijing, 100084, China

    Zhi-Qiang Chen, Tiao Zhao & Liang Li

  2. Key Laboratory of Particle and Radiation Imaging (Tsinghua University), Ministry of Education, Beijing, 100084, China

    Zhi-Qiang Chen, Tiao Zhao & Liang Li

Authors
  1. Zhi-Qiang Chen
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  2. Tiao Zhao
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  3. Liang Li
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Correspondence to Zhi-Qiang Chen.

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Chen, ZQ., Zhao, T. & Li, L. A curve-based material recognition method in MeV dual-energy X-ray imaging system. NUCL SCI TECH 27, 25 (2016). https://doi.org/10.1007/s41365-016-0019-4

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  • DOI: https://doi.org/10.1007/s41365-016-0019-4

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