@inproceedings{181c9579ab8c4b4a901c21fc1c3d78ab,
title = "Machine vision inspection of component footprints in PCB artwork",
abstract = "A new printed circuit board (PCB) inspection scheme designed to perform automated inspection of component sites is presented. A digitized image of the artwork for a board is stored after digitization via a scanner (300 dots per inch) in a tag image file format (TIFF) file. At inspection time, after reading in the compressed format TIFF file and decoding the compressed image, the PCB is graphically displayed on a PC screen together with a command menu. The user is then taken through a series of menu-driven commands to ultimately check the dimensions of center-to-center distance between holes and pads for electronic components on the PCB. The significance of this research is in the adaptation of the UNION-FIND procedure to develop a robust algorithm to segment an image into component objects and background to facilitate dimensional analysis and inspection of the artwork.",
author = "Radha Krishnan and Sommer, {H. J.}",
year = "1992",
month = jan,
day = "1",
language = "English (US)",
isbn = "0819408735",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "Publ by Int Soc for Optical Engineering",
pages = "819--829",
editor = "Bowyer, {Kevin W.}",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
note = "Applications of Artificial Intelligence X: Machine Vision and Robotics ; Conference date: 22-04-1992 Through 24-04-1992",
}