Shearographic phase retrieval using one single specklegram: a clustering approach

Huang, Yuan; Ng, Siu Pang; Liu, Long; Chen, Yun S.; Hung, Michael Y. Y.

doi:10.1117/1.2927462

Cited by 19 publications

(7 citation statements)

References 9 publications

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“…(10), three unknowns a, b and Δϕ are present. Theoretically, if anyone of these parameters has changed twice and the corresponding intensities are captured, all of the unknowns will be determined by solving the three equations generated from the starting point, first and second changes [102]. However, due to various noises in experimental data, a large number of data points should be captured for a more accurate determination of the desired phase.…”

Section: Image Processing and Data Analysismentioning

confidence: 99%

Phase‐sensitive surface plasmon resonance biosensors: methodology, instrumentation and applications

et al. 2012

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International audienceSurface Plasmon Resonance (SPR) has become a central tool for label-free characterization of biomolecular interactions. Based on monitoring of amplitude characteristics, conventional SPR sensors have been extensively explored, commercialized and applied for studies of many important interactions (antigen-antibody, protein-ligand etc), but this technology still lacks of sensitivity for the detection of relatively small and low copy number compounds. Phase-sensitive SPR has recently emerged as an upgrade of this technology to resolve the sensitivity issue. Profiting from a sharp phase jump under SPR and ultra-sensitive tools of its control, this technology offers up to 100-time improvement of the detection limit, giving access to the detection of trace amounts of small molecular weight analytes (drugs etc). This paper intends to provide a tutorial on basic concepts of phase detection in SPR sensing, compare the performance of phase- and amplitude-sensitive sensors, review recent progress in the development and applications of phase-sensitive SPR sensors, and outline future prospects and trends of this technology

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Section: Image Processing and Data Analysismentioning

confidence: 99%

Phase‐sensitive surface plasmon resonance biosensors: methodology, instrumentation and applications

et al. 2012

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“…The rubber industry already adopted shearography for evaluating tires [10]. Moreover, this method has been endorsed by the U.S. Federal Aviation Administration (FAA) as a compulsory testing and evaluation for aircraft tires [11] and by the European Aviation Safety Agency (EASA) as a reliable method of controlling composite structures [12].…”

Section: Introductionmentioning

confidence: 99%

Efficiency assessment of wavelet transforms and wavelets for damage localization in beams using shearography

et al. 2018

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Non-destructive testing of engineering structures and elements in operation is one of the crucial steps in recently introduced design philosophies: damage tolerance and condition-based maintenance. Therefore, it is important to provide effective non-destructive testing methods, which are able to detect and identify a possible damage in early stage of its development. One effective testing method, which still gains its popularity in various industrial applications, is shearography. Although, shearography is sensitive to various types of structural damage and flaws, this sensitivity can be significantly improved by applying advanced post-processing algorithms to raw data obtained from measurements. An excellent candidate for such an improvement is the wavelet analysis, due to its very high sensitivity to smallest signal disturbances. This study presents results of comparative analysis of various wavelet transforms and various wavelets in order to analyse their sensitivity to damage. The improvement in damage detectability is verified using experimental data.

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“…In recent decades, new technologies, such as acoustic emission (HUANG et al [4] and KORENSKA et a.l. [5]), digital image correlation (CHU et al [6],SUTTON et al [7], BRUCK et al [8], LUO et al [9], HUANG et al [10], SANTOS et al [11]) and shearography (HUNG [12], HUANG et al [13]), have been used for certain mechanical parameters of concrete, including the elasticity modulus. Among these techniques, digital image correlation (DIC) has gained rapid recognition.…”

Section: Introductionmentioning

confidence: 99%

Concrete modulus of elasticity assessment using digital image correlation

Santos

Pitangueira

Ribeiro

et al. 2016

Rev. IBRACON Estrut. Mater.

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This paper presents the use of the technique of digital image correlation for obtaining the elasticity modulus of concrete. The proposed system uses a USB microscope that captures images at a rate of five frames per second. The stored data are correlated with the applied loads, and a stress-strain curve is generated to determine the concrete compressive modulus of elasticity. Two different concretes were produced and tested using the proposed system. The results were compared with the results obtained using a traditional strain gauge. It was observed a difference in the range of 4% between the two methods, wherein this difference depends on some parameters in the case of the DIC results, as focal length and a video capture resolution, indicating that DIC technique can be used to obtain mechanical properties of concrete.

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Shearographic phase retrieval using one single specklegram: a clustering approach

Cited by 19 publications

References 9 publications

Phase‐sensitive surface plasmon resonance biosensors: methodology, instrumentation and applications

Phase‐sensitive surface plasmon resonance biosensors: methodology, instrumentation and applications

Efficiency assessment of wavelet transforms and wavelets for damage localization in beams using shearography

Concrete modulus of elasticity assessment using digital image correlation

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