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
Link To Document :
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