A performance assessment on the effectiveness of digital image registration methods

S. Kacenjar, Bing Li, Alan Ostrow
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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.
数字图像配准方法有效性的性能评价
时序图像(TSI)的数字图像相关(DIC)是医学、材料变形和电子封装研究中非常流行的一种方法。它在处理前后图像时提供了关于场景变形和图像之间结构差异的关键信息。在本研究中,我们将比较几种实现DIC的相关方法。这些方法中的每一种都在处理复杂性和锁定精度方面提供了不同的权衡。有几个因素影响这些方法的有效性,以提供鲁棒的操作和强局部相关峰。这些因素包括:相机在图像采集期间的位置稳定性,被研究对象的变形和测量噪声。此外,在DIC期间捕获的签名通常可以通过预处理放大,从而潜在地提高DIC性能。本文使用DIC分析中常用的四种相关方法研究了对其中两个因素(测量噪声和图像数字锐化)的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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