{"title":"数字图像指标与产品ADC匹配性能的相关性","authors":"J. Blais, V. Fischer, Y. Moalem, M. Saunders","doi":"10.1109/ASMC.1998.731407","DOIUrl":null,"url":null,"abstract":"Automatic defect classification tool matching requires that consistent quality images are captured on all tools. Image metrics have been developed and the variance of these metrics have been correlated to classifier matching. It is shown that in order to maintain tool matching, image color balance, focus, and shadowing must be monitored and maintained at acceptable values. Of these metrics, inappropriate color balance has the greatest effect on matching.","PeriodicalId":290016,"journal":{"name":"IEEE/SEMI 1998 IEEE/SEMI Advanced Semiconductor Manufacturing Conference and Workshop (Cat. No.98CH36168)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Correlation of digital image metrics to production ADC matching performance\",\"authors\":\"J. Blais, V. Fischer, Y. Moalem, M. Saunders\",\"doi\":\"10.1109/ASMC.1998.731407\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic defect classification tool matching requires that consistent quality images are captured on all tools. Image metrics have been developed and the variance of these metrics have been correlated to classifier matching. It is shown that in order to maintain tool matching, image color balance, focus, and shadowing must be monitored and maintained at acceptable values. Of these metrics, inappropriate color balance has the greatest effect on matching.\",\"PeriodicalId\":290016,\"journal\":{\"name\":\"IEEE/SEMI 1998 IEEE/SEMI Advanced Semiconductor Manufacturing Conference and Workshop (Cat. No.98CH36168)\",\"volume\":\"90 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE/SEMI 1998 IEEE/SEMI Advanced Semiconductor Manufacturing Conference and Workshop (Cat. No.98CH36168)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASMC.1998.731407\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/SEMI 1998 IEEE/SEMI Advanced Semiconductor Manufacturing Conference and Workshop (Cat. No.98CH36168)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASMC.1998.731407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Correlation of digital image metrics to production ADC matching performance
Automatic defect classification tool matching requires that consistent quality images are captured on all tools. Image metrics have been developed and the variance of these metrics have been correlated to classifier matching. It is shown that in order to maintain tool matching, image color balance, focus, and shadowing must be monitored and maintained at acceptable values. Of these metrics, inappropriate color balance has the greatest effect on matching.