DocumentCode
2578081
Title
Machine Vision Recognition of Disconnection Failure of IC Wafer
Author
Wang, Guitang ; Li, Dongdong ; Wu, Liming ; Deng, Yaohua ; Liu, Runyu
Author_Institution
Sch. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou
fYear
2006
fDate
26-29 Aug. 2006
Firstpage
1
Lastpage
4
Abstract
The defect exhibited a great variety of kinds have a direct impact in the yield of IC wafer in the lithography process. The missing material defect is an important factor of reducing the yield of IC, it mainly causes circuits to be disconnection failure, so it is important to recognize the missing material defect and ascertain the circuit´s failure style. In this paper, a recognition method for disconnection failure of the missing material defect based on skeleton character is presented. The thinning algorithm is used to extract the skeleton of image. The principle of deleting redundant points and branches is introduced to get the skeleton of single pixel and single direction. Then, the method of neighborhood field tracking is used to recognizing the disconnection circuits
Keywords
computer vision; failure analysis; integrated circuit yield; lithography; IC wafer yield; disconnection failure; lithography; machine vision recognition; missing material defect; neighborhood field tracking; redundant points deleting; skeleton character; skeleton extraction; thinning algorithm; Arithmetic; Character recognition; Circuits; Failure analysis; Lithography; Machine vision; Pixel; Production; Skeleton; Wire; IC wafer; Machine vision; Missing material defect; Skeleton extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Packaging Technology, 2006. ICEPT '06. 7th International Conference on
Conference_Location
Shanghai
Print_ISBN
1-4244-0619-6
Electronic_ISBN
1-4244-0620-X
Type
conf
DOI
10.1109/ICEPT.2006.359658
Filename
4199016
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