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
Link To Document :
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