• DocumentCode
    3765324
  • Title

    Perceived X-ray image quality for baggage screening

  • Author

    John Irvine;Mon Young;Stan German;Ross Eaton

  • Author_Institution
    Charles Start Draper Laboratory, Cambridge, MA, 02139, United States
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    The quality of an image affects its utility for various analytic tasks. For security screening of baggage, the quality of the X-ray image will affect the ability of human operators to detect and identify relevant objects. This paper presents a recent protocol aimed at the development of a perception-based standard for assessing the quality of x-ray images of baggage. This standard provides a quantitative method for assessing x-ray image quality from the display, as presented to security officers. Furthermore, it provides a framework for understanding how different variables (belt speed, scanner orientation, degree of clutter in the image, ambient lighting, etc) affect the quality of images taken from X-Ray scanners at security checkpoints. The paper presents the protocol that was performed, summarizes the analysis and findings, and presents a method for employing the results to assess performance of a scanner system.
  • Keywords
    "Image quality","X-ray imaging","Security","Standards","Correlation","Eigenvalues and eigenfunctions","Sensors"
  • Publisher
    ieee
  • Conference_Titel
    Applied Imagery Pattern Recognition Workshop (AIPR), 2015 IEEE
  • Electronic_ISBN
    2332-5615
  • Type

    conf

  • DOI
    10.1109/AIPR.2015.7444546
  • Filename
    7444546