Multi-Angle Annular Illumination Microscopy and Image Processing Strategy for Wafer Defect Inspection

The semiconductor industry is rapidly developing, and fabrication facilities demand higher standards for the surface quality inspection of patterned wafers. In this paper, a multi-angle annular illumination microscopy and an image processing strategy specifically designed for wafer defect inspection are proposed. We developed a microscopy system utilizing a variety of illumination modes, including bright field, high-angle, and low-angle dark field, based on an annular illumination diffraction model and a wafer scattering model. Additionally, we proposed an optimized fusion algorithm based on HSI (Hue, Saturation, Intensity) color space and wavelet transform for combining bright and dark field images. We conducted comparative experiments using different incident angles and various fusion algorithms. The results demonstrate that the multi-angle annular illumination significantly enhances defect contrast and reduces background noise. Overall, our image fusion algorithm and subsequent processing strategy significantly improve the efficiency and accuracy of defect inspection on wafer surfaces.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/aisomt64170.2024.10992037
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-Angle Annular Illumination Microscopy and Image Processing Strategy for Wafer Defect Inspection

Yue Fang, Shujiao Ye, Haoran Wang, Weibo Wang et al.
Image Processing Techniques and Applications
article

Multi-Angle Annular Illumination Microscopy and Image Processing Strategy for Wafer Defect Inspection

Yue Fang, Shujiao Ye, Haoran Wang, Weibo Wang, Xinhao Xu, Yubo Fang
article en

Abstract

The semiconductor industry is rapidly developing, and fabrication facilities demand higher standards for the surface quality inspection of patterned wafers. In this paper, a multi-angle annular illumination microscopy and an image processing strategy specifically designed for wafer defect inspection are proposed. We developed a microscopy system utilizing a variety of illumination modes, including bright field, high-angle, and low-angle dark field, based on an annular illumination diffraction model and a wafer scattering model. Additionally, we proposed an optimized fusion algorithm based on HSI (Hue, Saturation, Intensity) color space and wavelet transform for combining bright and dark field images. We conducted comparative experiments using different incident angles and various fusion algorithms. The results demonstrate that the multi-angle annular illumination significantly enhances defect contrast and reduces background noise. Overall, our image fusion algorithm and subsequent processing strategy significantly improve the efficiency and accuracy of defect inspection on wafer surfaces.

Harbin Institute of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 57%
Image Processing Techniques and Applications
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