Robustness analysis of digital image spearman's rho correlation

Huang, Wanghua; Wang, Qinruo; Xu, Weichao; Zhou, Yanzhou

doi:10.2991/aest-16.2016.29

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…Salt-and-pepper noise is a common type of noise in digital speckle images, which often causes errors in traditional DIC techniques. DISRC was proposed as a new DIC method in our earlier studies, where the robustness to salt and pepper noise was only elementally discussed [16], [23]. In this paper, we will further discuss the robustness and the computational optimization of DISRC.…”

Section: Introductionmentioning

confidence: 99%

Fast and Robust Digital Image Spearman's Rho Correlation for Displacement Measurement

Huang

Chen

Wei

et al. 2022

ITC

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The robustness and computational efficiency of digital image correlation (DIC) are two key influencing factors for displacement field measurement applications. Especially when the speckle images are contaminated by salt-and-pepper noise, it is difficult to obtain reliable measurement results using traditional DIC methods. Digital image Spearman’s Rho Correlation (DISRC), as a new DIC technique, has certain robustness to salt-and-pepper noise, but incurs a high computational load when computing subset ranks. It is found that the DISRC can tolerate up to 15% noise level theoretically by analyzing the mean character of Spearman’s Rho. Meanwhile a fast scheme is proposed in which parallelization is adopted for precomputing subset rank and computing for displacement field to accelerate the DISRC. The simulation results indicate that the fast DISRC is about 60 times faster than the original one, and the displacement field results are almost the same between them. The DISRC not only gives as well results as zero-mean normalized cross-correlation (ZNCC) without any noise, but also can tolerate 20% noise level in simulations. A case study also verifies that the result by DISRC is better than ZNCC when contaminated by smaller amounts of noise. The conclusion is that the DISRC is a strong anti-interference DIC technique, which is very important in application under complex environment, and the fast scheme is an effective way to accelerate the DISRC.

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Section: Introductionmentioning

confidence: 99%

Fast and Robust Digital Image Spearman's Rho Correlation for Displacement Measurement

Huang

Chen

Wei

et al. 2022

ITC

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Spearman’s rho modification in digital image processing

Nalepa

Gwiazda

2019

IOP Conf. Ser.: Mater. Sci. Eng.

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The article presents an alternative Spearman’s rank correlation pattern as an innovative method in detecting the edges of an image by defining characteristic points of the image. Edge detection methods can be counted as the image processing stage following the implementation of the “initial” image processing, which includes: use of filters such as low-pass or high-pass, wavelet transform, etc. In this article hitherto known edge detection algorithms will be replaced with image ranking method. The first chapter of this work contains an analysis of the current knowledge on the ranking of the image. The operation of the Spearman rho algorithm together with its various configurations and the comparison of the two methods studied are presented in turn. Next, the modification of the Spearman rho pattern is presented along with the justification for the use of such a transformation. The same chapter also presents the effects of the algorithm, comparing it with known image ranking methods. The next stage of works consisted in developing a method for the interpretation of the results obtained. In the last chapter of the work, the obtained test results were summarized and analysed.

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Robustness analysis of digital image spearman's rho correlation

Cited by 2 publications

References 12 publications

Fast and Robust Digital Image Spearman's Rho Correlation for Displacement Measurement

Fast and Robust Digital Image Spearman's Rho Correlation for Displacement Measurement

Spearman’s rho modification in digital image processing

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