{"title":"Defect cluster segmentation for CMOS fabricated wafers","authors":"W. J. Tee, M. Ooi, Y. Kuang, C. Chan","doi":"10.1109/CITISIA.2009.5224225","DOIUrl":null,"url":null,"abstract":"IC defects, which are essentially present in all fabricated wafers, can either be random defects or belonging to a group of systematic defects. The ability to segment systematic defects that are present in a wafer allows rapid root cause identification and corrective measures to be taken. In this paper, we have developed an algorithm based on the connected-components labeling to perform defect cluster segmentation. Dilation and erosion procedure is performed prior to the labeling process to eliminate isolated random defects in the wafer. A thresholding method which involves manual analysis by an industrial specialist is discussed. The advantage of this method is the ease and speed of implementation, and its robustness in allowing fine-tuning that suits the intended application.","PeriodicalId":144722,"journal":{"name":"2009 Innovative Technologies in Intelligent Systems and Industrial Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Innovative Technologies in Intelligent Systems and Industrial Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITISIA.2009.5224225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
IC defects, which are essentially present in all fabricated wafers, can either be random defects or belonging to a group of systematic defects. The ability to segment systematic defects that are present in a wafer allows rapid root cause identification and corrective measures to be taken. In this paper, we have developed an algorithm based on the connected-components labeling to perform defect cluster segmentation. Dilation and erosion procedure is performed prior to the labeling process to eliminate isolated random defects in the wafer. A thresholding method which involves manual analysis by an industrial specialist is discussed. The advantage of this method is the ease and speed of implementation, and its robustness in allowing fine-tuning that suits the intended application.