DocumentCode
3029972
Title
Low-level and high-level correlation for image registration [IC inspection]
Author
Mandalia, Anil D. ; Sudhakar, R. ; Ganesan, Kavita ; Hamano, F.
Author_Institution
Florida Atlantic Univ., Boca Raton, FL, USA
fYear
1990
fDate
4-7 Nov 1990
Firstpage
206
Lastpage
208
Abstract
A method based on the modification of the two-level correlation method and the preliminary results of its application to an IC inspection problem are presented. To reduce the computational complexity, a fast correlation method is that uses random shifts, random pixel selection within the search image, and optimal binarization of gray levels. This generates the possible locations where the template has high correlation peaks within the search image. As an example, the four corners of the IC can be located using the correlation peaks. Because of the random search procedure, there is uncertainty involved in matching the location correlation peaks to the corners of the IC. An evidence scheme based on the Dempster-Shafer formalism is used in the second level (high-level correlation) to resolve the uncertainty
Keywords
artificial intelligence; automatic optical inspection; computer vision; correlation methods; integrated circuit testing; search problems; Dempster-Shafer formalism; IC inspection; artificial intelligence; automatic optical inspection; computational complexity; computer vision; evidence scheme; gray levels; high-level correlation; image registration; low level correlation; optimal binarization; random pixel selection; random shifts; search image; two-level correlation method; uncertainty; Assembly systems; Computational complexity; Correlation; Image registration; Inspection; Machine vision; Pixel; Position measurement; Printed circuits; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
0-87942-597-0
Type
conf
DOI
10.1109/ICSMC.1990.142093
Filename
142093
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