Image Wafer Inspection based on Template Matching

This paper presents a template matching technique for detecting defects in VLSI wafer images. This method is based on traditional techniques of image analysis and image registration, but it combines the prior art of image wafer inspection in a new way, using prior knowledge like the design layout of VLSI wafer manufacturing process. This technique requires a golden template of the patterned wafer image under inspection which is obtained from the wafer image itself mixed to the layout design schemes. First a mapping between physical space and pixel space is needed. Then a template matching is applied for a more accurate alignment between wafer device and template. Finally, a segmented comparison is used for finding out possible defects. Results of the proposed method are presented in terms of visual quality of defect detection, any misalignment at topology level and number of correctly detected defective devices.

[1]  Richard O. Duda,et al.  Use of the Hough transformation to detect lines and curves in pictures , 1972, CACM.

[2]  W. D. Meisburger,et al.  Low‐voltage electron‐optical system for the high‐speed inspection of integrated circuits , 1992 .

[3]  Babak Hossein Khalaj,et al.  Digital image processing techniques for patterned-wafer inspection , 1993, Advanced Lithography.

[4]  Hamid K. Aghajan,et al.  Patterned wafer inspection by high resolution spectral estimation techniques , 2005, Machine Vision and Applications.

[5]  Cihan H. Dagli,et al.  Automatic PCB Inspection Algorithms: A Survey , 1996, Comput. Vis. Image Underst..

[6]  Byron Dom,et al.  The P300: A system for automatic patterned wafer inspection , 1988, Machine Vision and Applications.

[7]  Sally L. Wood,et al.  Wafer Defect Detection Using Directional Morphological Gradient Techniques , 2002, EURASIP J. Adv. Signal Process..

[8]  Byron Dom,et al.  Recent advances in the automatic inspection of integrated circuits for pattern defects , 1995, Machine Vision and Applications.

[9]  Gabriel Taubin,et al.  Estimation of Planar Curves, Surfaces, and Nonplanar Space Curves Defined by Implicit Equations with Applications to Edge and Range Image Segmentation , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Guangming Cui,et al.  Study on defect detection of IC wafer based on morphology , 2007, SPIE/COS Photonics Asia.

[11]  Fikret Erçal,et al.  A Subpattern Level Inspection System for Printed Circuit Boards , 1998, Comput. Vis. Image Underst..

[12]  Binoy Pinto,et al.  Speeded Up Robust Features , 2011 .

[13]  Boaz Porat,et al.  A course in digital signal processing , 1996 .

[14]  Mahdi Ehsanian,et al.  Defect detection on IC wafers based on neural network , 2017, 2017 29th International Conference on Microelectronics (ICM).

[15]  Anil K. Jain,et al.  A Survey of Automated Visual Inspection , 1995, Comput. Vis. Image Underst..

[16]  Steven Guan,et al.  A golden block self-generating scheme for continuous patterned wafer inspections , 1999, Proceedings 10th International Conference on Image Analysis and Processing.

[17]  Frederick Y. Wu,et al.  Automatic defect classification for semiconductor manufacturing , 1997, Machine Vision and Applications.

[18]  Ying-Jen Chen,et al.  Manufacturing intelligence for reducing false alarm of defect classification by integrating similarity matching approach in CMOS image sensor manufacturing , 2016, Comput. Ind. Eng..

[19]  A. Ravishankar Rao,et al.  Automatic defect classification for integrated circuits , 1993, Electronic Imaging.

[20]  T. Kailath,et al.  Estimation of Signal Parameters via Rotational Invariance Techniques - ESPRIT , 1986 .

[21]  Bo Gao,et al.  Defect detection of IC wafer based on two-dimension wavelet transform , 2010, Microelectron. J..

[22]  Chi Hau Chen,et al.  Machine vision algorithms for semiconductor wafer inspection: a project with Inspex , 1998, Other Conferences.

[23]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[24]  Roland T. Chin,et al.  Automated visual inspection: 1981 to 1987 , 1988, Computer Vision Graphics and Image Processing.

[25]  Fikret Erçal,et al.  Segmentation of Printed Circuit Board Images into Basic Patterns , 1998, Comput. Vis. Image Underst..

[26]  William K. Pratt Image Detection and Registration , 2002 .

[27]  Du-Ming Tsai,et al.  A quantile-quantile plot based pattern matching for defect detection , 2005, Pattern Recognit. Lett..