Automated visual inspection for LSI wafer patterns using a derivative-polarity comparison algorithm

Statistics – Applications

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Algorithms for visual inspection of LSI wafer multilayer patterns have been developed. These algorithms compare corresponding images of two dies on a wafer. In this paper, two algorithms are proposed. The derivative-polarity comparison algorithm compares the polarities of the first derivatives of two images, and recognizes the regions whose polarities are not matched as positional discrepancies (defects), in order to cope with gray-scale differences caused by pattern thickness errors. The multiple-displacement pattern matching algorithm executes the above polarity comparisons at several positions with images suitably aligned, and determines the common unmatched regions as defective, in order to handle the interlayer- registration errors encountered with multilayer patterns. These algorithms were evaluated experimentally, and it was verified that defects of 0.3 micrometers or more can be reliably detected in multilayer patterns by combining these algorithms.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Automated visual inspection for LSI wafer patterns using a derivative-polarity comparison algorithm does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Automated visual inspection for LSI wafer patterns using a derivative-polarity comparison algorithm, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automated visual inspection for LSI wafer patterns using a derivative-polarity comparison algorithm will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1268718

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.