A performance assessment on the effectiveness of digital image registration methods

Steve Kacenjar; Bing Li; Alan Ostrow

doi:10.1117/12.912087

24 January 2012 A performance assessment on the effectiveness of digital image registration methods

Steve Kacenjar, Bing Li, Alan Ostrow

Proceedings Volume 8294, Visualization and Data Analysis 2012; 82940V (2012) https://doi.org/10.1117/12.912087
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

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.

Citation Download Citation

Steve Kacenjar, Bing Li, and Alan Ostrow "A performance assessment on the effectiveness of digital image registration methods", Proc. SPIE 8294, Visualization and Data Analysis 2012, 82940V (24 January 2012); https://doi.org/10.1117/12.912087

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KEYWORDS

Digital image correlation

Image processing

Image registration

Skin

Cameras

Digital imaging

Image filtering

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