Presentation 2009-03-14
Visual Inspection of Pattern Defect Based on Self-reference
Tetsuya ASAMI, Toshikazu WADA, Kaoru SAKAI, Shunji MAEDA,
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Abstract(in English) This paper presents a visual inspection method for detecting LSI wafer defects. Recently the density of LSI circuit patterns are rapidly increasing. Even in such a high density patterns, fast and accurate defect detection is still highly demanded. Some of the small defects can be analyzed only by using SEM, however, for faster detection without stopping the production lines, visual inspection using microscopic camera is necessary. The microscopic images of LSI circuit patterns can be affected by intensity variation caused by light interference in the thin layers. In most of the cases, the range of the intensity variation caused by interference is bigger than that caused by a defect. For detecting defects under such severe intensity variation, we propose self referencing image transform. Self referencing is actually a subtraction of local image from the most similar local image, which can be found by nearest neighbor search. By performing the self referencing image transforms on a defect-less die image and inspection die image, we can find the difference between these dies without affected by the intensity variation. We further extend this basic procedure so as to increase the accuracy. We tested the resulting algorithm on real images and confirmed its accuracy.
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Keyword(in English) Comparative inspection / Defect detection / Visual inspetcion / Self reference
Paper # PRMU2008-283
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Conference Information
Committee PRMU
Conference Date 2009/3/6(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Visual Inspection of Pattern Defect Based on Self-reference
Sub Title (in English)
Keyword(1) Comparative inspection
Keyword(2) Defect detection
Keyword(3) Visual inspetcion
Keyword(4) Self reference
1st Author's Name Tetsuya ASAMI
1st Author's Affiliation Faculity of Systems Engineering, Wakayama University()
2nd Author's Name Toshikazu WADA
2nd Author's Affiliation Faculity of Systems Engineering, Wakayama University
3rd Author's Name Kaoru SAKAI
3rd Author's Affiliation Hitachi, LTD., Production Engineering Research Laboratory
4th Author's Name Shunji MAEDA
4th Author's Affiliation Hitachi, LTD., Production Engineering Research Laboratory
Date 2009-03-14
Paper # PRMU2008-283
Volume (vol) vol.108
Number (no) 484
Page pp.pp.-
#Pages 6
Date of Issue