Paper
22 May 1995 Automatic defect classification: status and industry trends
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Abstract
As device geometries shrink to 0.25 micron and smaller, all facets of integrated circuit (IC) processing are being challenged. With device sizes shrinking, so too shrinks the size of a defect that can cause chip failure, and hence yield loss. Contamination free manufacturing practices are becoming critical for successful device fabrication. To accomplish this, elimination of defect sources has a high priority. A defect can be a particle, microcontamination, pattern anomaly, crystalline defect such as a stacking fault, and so on. Defects have become a main source of yield loss to the semiconductor industry. This comes at a time when 90% yield values on mature product cannot increase at the rate that has occurred in the past. The industry is now faced with finding methods of incremental yield increase, in-line, on production wafers. Automatic Defect Classification (ADC) is an important part of SEMATECH's strategy to meet these industry needs.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marylyn Hoy Bennett, Kenneth W. Tobin Jr., and Shaun S. Gleason "Automatic defect classification: status and industry trends", Proc. SPIE 2439, Integrated Circuit Metrology, Inspection, and Process Control IX, (22 May 1995); https://doi.org/10.1117/12.209203
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Cited by 20 scholarly publications.
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KEYWORDS
Semiconducting wafers

Image processing

Defect detection

Fuzzy logic

Image segmentation

Inspection

Manufacturing

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