DocumentCode :
782353
Title :
Measuring photolithographic overlay accuracy and critical dimensions by correlating binarized Laplacian of Gaussian convolutions
Author :
Nishihara, H. Keith ; Crossley, P.A.
Author_Institution :
Schlumberger Palo Alto Res., CA, USA
Volume :
10
Issue :
1
fYear :
1988
fDate :
1/1/1988 12:00:00 AM
Firstpage :
17
Lastpage :
30
Abstract :
A technique is described for measuring overlay accuracy and critical dimensions in IC manufacture and similar fields, based on a theory originally developed for matching binocular stereo images. The method uses targets composed of small elements that can be at the minimum feature size of the photolithographic process. Alignment is measured using clusters of those elements rather than the small elements individually. This makes the method insensitive to many of the imaging effects that have plagued other approaches, such as interference fringes and edge topology differences between process steps. The method is tolerant of high noise levels, which allows operation on process layers that produce low-contrast images or high-noise backgrounds as is the case when aligning resist over metal. Adding an appropriate bar grating to the alignment target causes element size changes to induce a proportional shift in alignment, allowing critical dimensions to be measured by the alignment technique
Keywords :
Laplace transforms; computer vision; computerised pattern recognition; integrated circuit technology; photolithography; IC manufacture; bar grating; binarized Laplacian of Gaussian convolutions; computer vision; convolution correlation; critical dimensions; edge topology differences; feature matching; interference fringes; low-contrast images; noise tolerance; pattern recognition; photolithographic overlay accuracy; picture element clusters; positioning accuracy measurement; resist alignment; Fabrication; Geometry; Integrated circuit measurements; Interference; Laplace equations; Lithography; Noise level; Printers; Resists; Topology;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.3864
Filename :
3864
Link To Document :
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