• DocumentCode
    2620636
  • Title

    Picture comparison binarization method for cosmic ray muon radiography

  • Author

    Liu, Yuanyuan ; Zhao, Ziran ; Xing, Yuxiang ; Chen, Zhiqiang ; Zhang, Li ; Wang, Zhentian

  • Author_Institution
    Department of Engineering Physics, Tsinghua University and Key Laboratory of Particle & Radiation Imaging, Ministry of Education, Beijing, China, 100084
  • fYear
    2008
  • fDate
    19-25 Oct. 2008
  • Firstpage
    1261
  • Lastpage
    1264
  • Abstract
    Cosmic ray muon radiography has become a hot topic among people recently for its great preponderance to detect high-Z materials. Picture comparison is a key point of this technique. Currently, normalized mean absolute distance measure (NMADM) is one of the most useful methods for picture comparison. However, aimed at contraband detection, under the limitations of muon amount and unknown path, through the numerical simulations that we use NMADM to quantitatively evaluate the distribution of the nuclear material reconstructed by the MLSD-OSEM algorithm which we proposed in 2007, we found NMADM is not available for cosmic ray muon radiography. In this paper, we proposed to develop NMADM into a NMADM based on the binarized images, that is, picture comparison binarization method (PCBM). Numerical simulations demonstrate PCBM is a more reasonable picture comparison method for cosmic ray muon radiography. Believed this work will play a significant role for cosmic ray muon radiography into our real life.
  • Keywords
    Cosmic rays; Earth; Image reconstruction; Maximum likelihood estimation; Mesons; Numerical simulation; Radiography; Reconstruction algorithms; Sea measurements; Sea surface; MLSD-OSEM algorithm; binarization; muon radiography; normalized mean absolute distance measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2008. NSS '08. IEEE
  • Conference_Location
    Dresden, Germany
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-2714-7
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2008.4774635
  • Filename
    4774635