• DocumentCode
    49958
  • Title

    An Apparatus and Method for Real-Time Stacked Sheets Counting With Line-Scan Cameras

  • Author

    Tiejian Chen ; Yaonan Wang ; Changyan Xiao

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
  • Volume
    64
  • Issue
    7
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    1876
  • Lastpage
    1884
  • Abstract
    To satisfy the requirement of quality control in printing and packaging industry, a sheet counting apparatus is developed, which adopts a line-scan camera to image the fringes of sheet stack and is able to provide a real-time and noncontact measurement of their quantity. With a brief introduction of the system architecture, our main work focuses on the sheet counting algorithms. The basic principle is to identify each sheet profile from the 1-D image with a robust ridge strength measurement. First, a multiscale bi-Gaussian ridge likelihood measurement and a ridge-valley descriptor are utilized to improve adjacent objects detection by increasing local contrast around sheet fringes. Then, a sheet recognition scheme, which integrates a peak detection algorithm and the ridge region criteria for verification, is proposed to discriminate true sheets from the obtained ridgeness measure. According to experiments and tests in real production lines, our apparatus can reach a very high measuring accuracy for printing papers or cards with a thickness not <;0.2 mm.
  • Keywords
    materials handling; maximum likelihood estimation; object detection; object recognition; printing industry; production engineering computing; quality control; line-scan cameras; multiscale bi-Gaussian ridge likelihood measurement; packaging industry; peak detection algorithm; printing industry; quality control; realtime stacked sheets counting; ridge region criteria; ridge-valley descriptor; ridgeness measure; robust ridge strength measurement; sheet counting algorithms; sheet counting apparatus; sheet recognition scheme; sheet stack; Algorithm design and analysis; Cameras; Kernel; Printing; Real-time systems; Standards; Bi-Gaussian kernel; machine vision; packing industry; ridge detection; sheet counting; sheet counting.;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2014.2366977
  • Filename
    6963373