31 August 2020 Automatic speckle region selection for digital image correlation
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Abstract

With the increase in digital image correlation (DIC) applications, it is an important task to realize the fully automatic measurement and provide an automatic deformation measurement sensor. Keeping this in mind, we propose an automatic speckle region selection method for DIC. This method can be divided into three main steps: initial contour selection, active contour computation, and morphological operation. The sum of modulus of the local intensity gradient vector of the local image is used to determine the initial contour, the active contour computation is driven by improved automatic local Gaussian distribution fitting energy, and the morphological closing operation is finally conducted to achieve better robustness. Experimental results show that the root mean squared error of the localization is less than 0.8260 pixels. We further integrate the proposed method into an open-source DIC software, and the fully automatic deformation analysis is realized. The fully automatic deformation measurement will further widen the application scope of DIC, especially in the field of smart robotics and smart city.

© 2020 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2020/$28.00 © 2020 SPIE
Xinxing Shao, Jing Feng, and Xiaoyuan He "Automatic speckle region selection for digital image correlation," Optical Engineering 59(8), 084107 (31 August 2020). https://doi.org/10.1117/1.OE.59.8.084107
Received: 8 June 2020; Accepted: 17 August 2020; Published: 31 August 2020
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Speckle

Digital image correlation

Optical engineering

Video

Video processing

Speckle pattern

Diamond

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