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Proceedings Paper

A performance assessment on the effectiveness of digital image registration methods
Author(s): Steve Kacenjar; Bing Li; Alan Ostrow
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Paper 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.

Paper Details

Date Published: 24 January 2012
PDF: 8 pages
Proc. SPIE 8294, Visualization and Data Analysis 2012, 82940V (24 January 2012); doi: 10.1117/12.912087
Show Author Affiliations
Steve Kacenjar, Lockheed Martin Corp. (United States)
Bing Li, Lockheed Martin Corp. (United States)
Alan Ostrow, Lockheed Martin Corp. (United States)

Published in SPIE Proceedings Vol. 8294:
Visualization and Data Analysis 2012
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen; Robert Kosara; Mark A. Livingston; Jinah Park; Ian Roberts, Editor(s)

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