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Journal ArticleDOI

Digital speckle-displacement measurement using a complex spectrum method

TLDR
The technique retains all the advantages of optical speckle photography and provides an extended range of measurement and was applied successfully to the study of crack-tip deformation fields.
Abstract
An alternative approach to fully automatic speckle-displacement measurement is described. Two speckle patterns of a specimen, one before and one after deformation, are captured by a CCD camera and registered by a frame grabber. Two series of small subimages are obtained by segmenting the two speckle patterns. The corresponding subimage pairs extracted from both series are analyzed pointwise. The interrogation of each subimage pair involves a two-step fast-Fourier transform. While the first-step fast-Fourier transform achieves a complex spectrum characterized by the local displacement information, the second-step one generates a signal peak in the second spectral domain that resolves the local displacement vector. A rough estimate of the displacement vector is achieved by detecting the maximum pixel of the discrete spectrum. A more accurate determination is attained by a subpixel-maximum determination through a biparabolic fitting near the signal peak. The u- and v-displacement fields are deduced by analyzing all subimage pairs. A large rigid-body displacement can be overcome by introducing an artificial rigid shift of the two speckle patterns toward each other before the numerical process. The technique retains all the advantages of optical speckle photography and provides an extended range of measurement. Dynamic incremental deformations can be inspected by registering more speckle patterns at many consecutive deformation stages by using a high-speed CCD camera. The system was applied successfully to the study of crack-tip deformation fields.

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Citations
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Journal ArticleDOI

Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review

TL;DR: In this article, a review of the 2D digital image correlation (2D DIC) technique for displacement field measurement and strain field estimation is presented, and detailed analyses of the measurement accuracy considering the influences of both experimental conditions and algorithm details are provided.
Posted Content

Digital Image Correlation: From Displacement Measurement to Identification of Elastic Properties - A Review

TL;DR: In this article, a general presentation of the extraction of displacement fields from the knowledge of pictures taken at different instants of an experiment is given, and different strategies can be followed to achieve a sub-pixel uncertainty.
Journal ArticleDOI

Digital Image Correlation: from Displacement Measurement to Identification of Elastic Properties – a Review

TL;DR: A general presentation of the extraction of displacement fields from the knowledge of pictures taken at different instants of an experiment is given, and different strategies can be followed to achieve a sub-pixel uncertainty.
Journal ArticleDOI

Systematic errors in digital image correlation caused by intensity interpolation

TL;DR: It is shown that the position-dependent bias in a numerical study can lead to apparent strains of the order of 40% of the actual strain level, and methods are presented to reduce this bias to acceptable levels.
Book ChapterDOI

Advances in Two-Dimensional and Three-Dimensional Computer Vision

TL;DR: Two-dimensional image correlation has been widely used for deformation measurements in a variety of applications including fracture mechanics, biomechanics, constitutive property measurement in complex materials, model verification for large, flawed structures and nondestructive evaluation as discussed by the authors.
References
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Journal ArticleDOI

Digital image correlation using Newton-Raphson method of partial differential correction

TL;DR: In this paper, the authors developed and limited experimental verification of a method which can determine displacements and gradients using the Newton-Raphson method of partial corrections, which was shown to be accurate in determining displacement and certain gradients, while using significantly less CPU time than the current coarse-fine search method.
Journal ArticleDOI

Spatial Registration of Multispectral and Multitemporal Digital Imagery Using Fast Fourier Transform Techniques

TL;DR: The fast Fourier transform (FFT) technique for cross correlation of misregistered imagery to determine spatial distances is discussed in detail and a method of achieving translational, rotational, and scaling corrections between images is described.
Journal ArticleDOI

Speckle Displacement and Decorrelation in the Diffraction and Image Fields for Small Object Deformation

TL;DR: In this paper, the cross-correlation functions of speckle intensities before and after deformation were investigated by calculating the crosscorrelation function of the intensity distribution of laser-speckles.
Journal ArticleDOI

Recording of In-plane Surface Displacement by Double-exposure Speckle Photography

TL;DR: In this article, the authors measured local displacements in the plane of an object surface illuminated by coherent light by recording double-exposure photographs of it and using the optical transform of the negative image.
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