{"title":"利用互相关技术寻找激光测微仪扫描数据的相似性","authors":"J. Czebe, P. Šuránek, J. Tůma, D. Fojtik","doi":"10.21495/71-0-81","DOIUrl":null,"url":null,"abstract":"This paper demonstrates a signal processing approach designed to overlay data sets measured using two optical micrometers. Two sensors are used in order to measure object’s shape, but measured signals are relatively shifted, because it is impossible to mount sensors into the same position. Correlation method are applied to measurement data and the shift between these sets are evaluated.","PeriodicalId":197313,"journal":{"name":"Engineering Mechanics 2019","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FINDING SIMILARITIES IN LASER MICROMETERS‘ SCANNED DATA USING CROSS-CORRELATION\",\"authors\":\"J. Czebe, P. Šuránek, J. Tůma, D. Fojtik\",\"doi\":\"10.21495/71-0-81\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper demonstrates a signal processing approach designed to overlay data sets measured using two optical micrometers. Two sensors are used in order to measure object’s shape, but measured signals are relatively shifted, because it is impossible to mount sensors into the same position. Correlation method are applied to measurement data and the shift between these sets are evaluated.\",\"PeriodicalId\":197313,\"journal\":{\"name\":\"Engineering Mechanics 2019\",\"volume\":\"124 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Mechanics 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21495/71-0-81\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Mechanics 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21495/71-0-81","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FINDING SIMILARITIES IN LASER MICROMETERS‘ SCANNED DATA USING CROSS-CORRELATION
This paper demonstrates a signal processing approach designed to overlay data sets measured using two optical micrometers. Two sensors are used in order to measure object’s shape, but measured signals are relatively shifted, because it is impossible to mount sensors into the same position. Correlation method are applied to measurement data and the shift between these sets are evaluated.