TY - GEN
T1 - Multi-Angle Annular Illumination Microscopy and Image Processing Strategy for Wafer Defect Inspection
AU - Ye, Shujiao
AU - Xu, Xinhao
AU - Fang, Yue
AU - Fang, Yubo
AU - Wang, Haoran
AU - Wang, Weibo
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - annular illumination
KW - wafer defect inspection
KW - wavelet transform
UR - https://www.scopus.com/pages/publications/105007286135
U2 - 10.1109/AISOMT64170.2024.10992037
DO - 10.1109/AISOMT64170.2024.10992037
M3 - 会议稿件
AN - SCOPUS:105007286135
T3 - 2024 IEEE Academic International Symposium on Optoelectronics and Microelectronics Technology, AISOMT 2024
SP - 406
EP - 411
BT - 2024 IEEE Academic International Symposium on Optoelectronics and Microelectronics Technology, AISOMT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Academic International Symposium on Optoelectronics and Microelectronics Technology, AISOMT 2024
Y2 - 21 November 2024 through 22 November 2024
ER -