{"title":"A performance assessment on the effectiveness of digital image registration methods","authors":"S. Kacenjar, Bing Li, Alan Ostrow","doi":"10.1117/12.912087","DOIUrl":null,"url":null,"abstract":"Digital Image Correlation (DIC) of time-sequenced-imagery (TSI) is a very popular method in the study of medical, \nmaterial deformation, and electronic packaging. Its use in processing the before-and-after images provides critical \ninformation about the scene deformation and structural differences between the imagery. \nSeveral correlation methods for implementing DIC have been developed and will be compared in this study. Each of \nthese methods offer distinct trades offs with respect to processing complexity and lock-in accuracy. \nThere are several factors that influence the effectiveness of these methods to provide robust operation and strongly \nlocalized correlation peaks. These factors include; camera positional stability during the time of image acquisitions, \ndeformation of the object under study, and measurement noise. In addition, the signatures that are captured during DIC \ncan often times be amplified through preprocessing and thus potentially enhancing DIC performance. \nThis paper examines the impacts on two of these factors (measurement noise and image digital sharpening) using four \npopular correlation methods that are often implemented in DIC analyses.","PeriodicalId":89305,"journal":{"name":"Visualization and data analysis","volume":"1 1","pages":"82940V"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Visualization and data analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.912087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Digital Image Correlation (DIC) of time-sequenced-imagery (TSI) is a very popular method in the study of medical,
material deformation, and electronic packaging. Its use in processing the before-and-after images provides critical
information about the scene deformation and structural differences between the imagery.
Several correlation methods for implementing DIC have been developed and will be compared in this study. Each of
these methods offer distinct trades offs with respect to processing complexity and lock-in accuracy.
There are several factors that influence the effectiveness of these methods to provide robust operation and strongly
localized correlation peaks. These factors include; camera positional stability during the time of image acquisitions,
deformation of the object under study, and measurement noise. In addition, the signatures that are captured during DIC
can often times be amplified through preprocessing and thus potentially enhancing DIC performance.
This paper examines the impacts on two of these factors (measurement noise and image digital sharpening) using four
popular correlation methods that are often implemented in DIC analyses.