Two approaches to the blind phase shift extraction for two-step electronic speckle pattern interferometry

Muravsky, Leonid I.; Kmet, A. B.; Voronyak, Taras I.

doi:10.1117/1.oe.52.10.101909

Cited by 23 publications

(10 citation statements)

References 31 publications

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“…Being reflected from the testing object 5 and the refer-ence mirror 7, these two beams again fall on the light splitter 4, after which they propagate in one direction to camera 8. With the help of camera 8 and computer 11, the result of the coherent interaction of these beams is recorded, i.e., the speckle interferograms (SI) of the surface of the LCM [13,17,18].…”

Section: Acoustic Resonance In a Hidden Defectmentioning

confidence: 99%

Detection and Identification of Hidden Defects in Layered Polymer Composites Using Combination of Acoustic Resonance and Interferometric Monitoring of Surface Displacements

Nazarchuk

Voronyak

Kuts

et al. 2023

Preprint

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Method of detection and identification of hidden defects in the structural elements made of layered composite materials is presented in this study. Such defects occur during production of composite materials, composite structures and during their operation. A proposed method of non-destructive testing combines the acoustic load of the test object and the interferometric testing of its surface displacements, which arise as a result of resonance of the acoustic wave in the defect. The defect is considered as an acoustic resonator filled with a medium (under normal conditions – by air) in which only a longitudinal acoustic wave propagates. The novelty of the method is that it allows not only to detect and locate a hidden defect, but also to determine its dimensions. And its advantage is that it does not require knowledge about the mechanical properties of the material, as a result, it is not necessary to determine the speed of sound propagation in the composite; it allows to test materials with arbitrary parameters of its surface roughness (from optically rough to mirror-smooth ISO 4287:2012); uses acoustic waves with frequencies 3...5 times lower than similar methods. Authors presented in this work experimental results that confirm the effectiveness of the proposed method.

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Section: Acoustic Resonance In a Hidden Defectmentioning

confidence: 99%

Detection and Identification of Hidden Defects in Layered Polymer Composites Using Combination of Acoustic Resonance and Interferometric Monitoring of Surface Displacements

Nazarchuk

Voronyak

Kuts

et al. 2023

Preprint

Self Cite

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“…Deng et al (2012) proposed a phase shift extraction algorithm based on calculating the extreme value of interference (EVI) in the interferogram, by searching for the ratio of the extreme values of interference in one interferogram to another interferogram, the phase shift between two interferograms and the measured phase can be determined accurately. Muravsky et al (2011) proposed a two-step algorithm to determine the phase shift by the correlation coefficient of two interferograms (Muravsky and Voronyak 2013). Though almost all of these two-step algorithms are required to eliminate the background of interferograms in advance, it still is a good choice to perform the phase shift extraction with these algorithms because of their convenience, practicability and requirement of fewer frames.…”

Section: Introductionmentioning

confidence: 99%

Phase shifts extraction algorithm based on Gram–Schmidt orthonormalization of two vectors

2015

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Phase shifts extraction is an important research field of phase-shifting interferometry. In this paper, based on Gram-Schmidt orthonormalization of two vectors, a novel algorithm for phase shifts extraction is proposed. This algorithm can determine the phase shifts by using only two-frame phase-shifting interferograms, as well as the phase shifts among a sequence of interferograms by a loop program. To verify the performance of the proposed algorithm, we have employed this algorithm to the simulation fringe patterns and experimental interferograms to extract the phase shifts, both of the results prove that this algorithm can obtain the phase shifts with high precision rapidly. Comparing with other algorithms, it shows that the proposed algorithm is suitable for phase shifts extraction, especially in the situation of only two-frame interferograms.

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“…Methods of two-and three-step phase shifting interferometry (PSI) with arbitrary unknown phase shifts (UPSs) between interferograms are becoming very popular due to their simplicity and processing speed. The efforts to simplify and accelerate the retrieval of surface displacement and strain fields by using methods of two-and three-step phase shifting (PS) digital speckle pattern interferometry (DSPI) with UPSs have also been made [1][2][3]. Previous results of computer simulations showed that the absolute errors of UPSs decrease with an increase in the surface roughness of the studied object [2].…”

Section: Introductionmentioning

confidence: 99%

“…The efforts to simplify and accelerate the retrieval of surface displacement and strain fields by using methods of two-and three-step phase shifting (PS) digital speckle pattern interferometry (DSPI) with UPSs have also been made [1][2][3]. Previous results of computer simulations showed that the absolute errors of UPSs decrease with an increase in the surface roughness of the studied object [2]. However, in these simulations, calculations of UPSs were performed for speckle fringe patterns (SFPs) containing background intensity distributions.…”

Section: Introductionmentioning

confidence: 99%

Analysis of unknown phase shift errors between speckle fringe patterns using Pearson correlation coefficient

Muravsky,

Kulynych

2024

Sixteenth International Conference on Correlation Optics

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Two approaches to the blind phase shift extraction for two-step electronic speckle pattern interferometry

Cited by 23 publications

References 31 publications

Detection and Identification of Hidden Defects in Layered Polymer Composites Using Combination of Acoustic Resonance and Interferometric Monitoring of Surface Displacements

Detection and Identification of Hidden Defects in Layered Polymer Composites Using Combination of Acoustic Resonance and Interferometric Monitoring of Surface Displacements

Phase shifts extraction algorithm based on Gram–Schmidt orthonormalization of two vectors

Analysis of unknown phase shift errors between speckle fringe patterns using Pearson correlation coefficient

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