Paper
6 October 1998 Machine vision algorithms for semiconductor wafer inspection: a project with Inspex
Chi Hau Chen, Tzu-Hung Cheng, Wo-Tak Wu, Shawn Driscoll
Author Affiliations +
Proceedings Volume 3521, Machine Vision Systems for Inspection and Metrology VII; (1998) https://doi.org/10.1117/12.326963
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States
Abstract
With increased demand for reliable and automated semiconductor wafer inspection, machine vision techniques are much needed for defect extraction and identification and pre- and post-processing operations. The wavelet-based approach is emphasized in this paper for its capability to meet different needs in wafer inspection. The algorithms involved are illustrated by using a number of wafer inspection images.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chi Hau Chen, Tzu-Hung Cheng, Wo-Tak Wu, and Shawn Driscoll "Machine vision algorithms for semiconductor wafer inspection: a project with Inspex", Proc. SPIE 3521, Machine Vision Systems for Inspection and Metrology VII, (6 October 1998); https://doi.org/10.1117/12.326963
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Semiconducting wafers

Wafer inspection

Inspection

Machine vision

Wavelets

Algorithm development

Light

Back to Top