• DocumentCode
    1291408
  • Title

    Machine vision automates inspection of thick-film hybrids

  • Author

    Bolhouse, Valarie C.

  • Author_Institution
    Ford Motor Co., Dearborn, MI, USA
  • Volume
    2
  • Issue
    1
  • fYear
    1986
  • Firstpage
    44
  • Lastpage
    48
  • Abstract
    The function of a machine vision system for inspection is discussed, and its image acquisition and image processing aspects are examined in detail. It is concluded that the image-acquisition system must be optimized for the specific optical characteristics of the circuit substrate in order to obtain a high-contrast image. The image processing section must be able to correctly segment the image into the specific layers. The defect analysis must be able to identify flaws one-tenth the size of the smallest feature of the circuit, while not flagging acceptable anomalies as defects.
  • Keywords
    computer vision; computerised picture processing; flaw detection; hybrid integrated circuits; inspection; integrated circuit testing; thick film circuits; circuit substrate; defect analysis; flaw detection; image acquisition; image processing; inspection; machine vision system; optical characteristics; thick-film hybrids; Cameras; Ceramics; Conductors; Inspection; Machine vision; Printing; Substrates;
  • fLanguage
    English
  • Journal_Title
    Circuits and Devices Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    8755-3996
  • Type

    jour

  • DOI
    10.1109/MCD.1986.6311770
  • Filename
    6311770