We propose a digital speckle correlation method based on the adaptive segmentation of the images of rough surfaces into fragments of any shape with regard for the structure and sizes of all speckles appearing in these images. The method is used for the determination of the fields of displacements of the surface of a duralumin beam containing a lateral fatigue crack under three-point loading.
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References
H. Tao, P. D. Zavattieri, L. G. Hector, et al., “Mode I fracture at spot welds in dual-phase steel: an application of reverse digital image correlation,” Exp. Mech., 50, 1199–1212 (2010).
W. Tong, “An adaptive backward image correlation technique for deformation mapping of a growing crack in thin sheets,” Exp. Techniques, 28, No. 3, 63–67 (2004).
W. Tong, H. Tao, X. Jianget, et al., “Deformation and fracture of miniature tensile bars with resistance spot-weld microstructures,” Metall. Mater. Trans. A, 36 A, 2651–2669 (2005).
C. Cofaru, W. Philips, and W. V. Paepegem, “Adaptive partitioning method in high resolution speckle imagery for sub-pixel digital image correlation,” in: Proc. of the IEEE Internat. Conf. on Image Processing ICIP’10, Hong Kong (2010), pp. 769–772.
C. Cofaru, W. Philips, and W. V. Paepegem, “Dense and accurate motion and strain estimation in high resolution speckle images using an image-adaptive approach,” in: Proc. of the SPIE Conf. on Applications of Digital Image Processing XXIV (San Diego, California), Vol. 8135 (2011), p. 81351G.
C. Cofaru, W. Philips, and W. V. Paepegem, “A novel speckle pattern—adaptive digital image correlation approach with robust strain calculation,” Opt. Laser. Eng., 50, No. 2, 187–198 (2012).
I. S. Holyns’kyi, L. I. Muravs’kyi, and T. I. Polovynko, “Optimization of the method of determination of the parameter of the filter of fractional power in the correlation function for the analysis of speckle images,” Teor. Elektrotekh., 60, 118–123 (2009).
N. Otsu, “A threshold selection method from grey-level histograms,” IEEE Trans. Syst., Man., Cybern., 9, 62–66 (1979).
R. C. Gonzalez and R. E. Woods, Digital Image Processing, Prentice Hall, New Jersey (2002).
L. Shapiro and G. Stockman, Computer Vision, Prentice Hall, New Jersey (2002).
F. P. Preparata and M. Shamos, Computational Geometry. An Introduction, Springer (1985).
B. V. K. Vijaya Kumar and L. Hassebrook, “Performance measures for correlation filters,” Appl. Opt., 29, No. 20, 2997–3006 (1990).
M. Sjödahl and L. R. Benckert, “Electronic speckle photography: analysis of an algorithm giving the displacement with subpixel accuracy,” Appl. Opt., 32, No. 13, 2278–2284 (1993).
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Translated from Fizyko-Khimichna Mekhanika Materialiv, Vol. 49, No. 5, pp. 92–97, September–October, 2013.
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Sakharuk, О.М., Muravs’kyi, L.І., Holyns’kyi, I.S. et al. Determination of the Field of Local Displacements by the Digital Speckle Correlation Method with Adaptive Segmentation of the Images. Mater Sci 49, 660–666 (2014). https://doi.org/10.1007/s11003-014-9660-4
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DOI: https://doi.org/10.1007/s11003-014-9660-4