Application of digital speckle correlation method to deformation measurement

Zhi-xin, 陈志新 Chen; Jin, 梁晋 Liang; Cheng, 郭成 Guo

doi:10.3788/ope.20111907.1480

Cited by 4 publications

(2 citation statements)

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“…Compared with other optical measurement methods, the most significant advantage lies in its simple experimental equipment and convenient measurement. It has the characteristics of full field non-contact, no damage, high accuracy, and high automation by using binocular image acquisition equipment [2][3][4]. Because of these characteristics, the digital speckle correlation method breaks the limitations of traditional measurement methods and creates a wide range of applications, such as the measurement of deformation of composite materials [5], the detection of cancer cells by measuring the skin strain [6], and measurement in a complex and severe environment [7][8][9][10], et al…”

Section: Introductionmentioning

confidence: 99%

Hardware Implementation for an Improved Full-Pixel Search Algorithm Based on Normalized Cross Correlation Method

et al. 2018

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Digital speckle correlation method is widely used in the areas of three-dimensional deformation and morphology measurement. It has the advantages of non-contact, high precision, and strong stability. However, it is very complex to be carried out with low speed software implementation. Here, an improved full pixel search algorithm based on the normalized cross correlation (NCC) method considering hardware implementation is proposed. According to the field programmable gate array (FPGA) simulation results, the speed of hardware design proposed in this paper is 2000 faster than that of software in single point matching, and 600 times faster than software in multi-point matching. The speed of the presented algorithm shows an increasing trend with the increase of the template size when performing multipoint matching.

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Section: Introductionmentioning

confidence: 99%

Hardware Implementation for an Improved Full-Pixel Search Algorithm Based on Normalized Cross Correlation Method

et al. 2018

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“…This method obtains the deformation and other mechanical properties by carrying out the calculation for correlativity between the two speckle fields of the tested object before and after the deformation or displacement [1]. It has the characteristics of full field non-contact, no damage, high accuracy, fast speed and high automation by matching with binocular image acquisition equipment [2][3]. Because of these characteristics, the digital speckle correlation method breaks the limitations of traditional measurement methods and creates a wide range of applications, such as: measurement of deformation of composite materials [4], detection of cancer cells by measuring the skin strain [5], measurement in a complex and severe environment [6][7], et al The basic idea of digital speckle correlation method is to divide the search process into two parts: full-pixel search and sub-pixel search [8].…”

Section: Introductionmentioning

confidence: 99%

Fast Hardware Implementation of Sub-pixel Search Algorithm for Digital Speckle Correlation Method

Kuang¹,

Zhang²,

Liang³

2018

Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)

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Digital speckle correlation measurement method is an important way in the areas of three-dimensional deformation and morphology measurement. It carries the advantages of non-contact, high precision and strong stability. The sub-pixel search algorithm which is used to improve the accuracy of displacement measurement is one of the key technologies in digital speckle correlation method. In order to reduce the computational complexity, the sum of absolute differences (SAD) is used as the correlation function. Special fixed-point arithmetic is designed to solve the problem of processing floating-point calculation during the hardware implementation. Experimental results show that the speed of hardware implementation is more than 600 times higher than that of software implementation. The sub-pixel search accuracy is about 0.1 pixel, and the search error is about 0.03 pixel.

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Non-contact type dynamic responses test of wind turbines

Cao¹,

Zhang²,

Sun³

2023

J. meas. eng.

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The performance analysis of wind turbine systems should be considered when calculating the wind speed relative to the wind turbine structure, and is essential for wind turbine design. Since the conditions are precarious in transient state and the operating environments are challenging, the wind turbine is a complex, multivariate, nonlinear system. This paper presents a novel dynamic response test method for wind turbines based on three-dimensional digital speckle measurement. This method use a real-time speckle image collection of objects in various stages using binocular stereo vision to perform stereo matching of deformation points on object surface. A digital image correlation algorithm is used to rebuild three-dimensional space coordinates of matching points so as to achieve wind turbine dynamic response. A laboratory-scale experimental platform is constructed to test the dynamic response of the wind turbine system. In order to verify the accuracy of the proposed method, a three-dimensional model of a wind turbine is built. With dynamic structure response process adopted to carry out dynamic analysis and compare theoretical results with test results, the results vary by less than 10 %, indicating that the test method presented in the paper is feasible and effective.

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Application of digital speckle correlation method to deformation measurement

Cited by 4 publications

References 0 publications

Hardware Implementation for an Improved Full-Pixel Search Algorithm Based on Normalized Cross Correlation Method

Hardware Implementation for an Improved Full-Pixel Search Algorithm Based on Normalized Cross Correlation Method

Fast Hardware Implementation of Sub-pixel Search Algorithm for Digital Speckle Correlation Method

Non-contact type dynamic responses test of wind turbines

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