Deformation measurements in cortical bone-miniscrew interface in human maxilla by using digital speckle pattern interferometry

Kumar, Manoj; Agarwal, Rupali; Bhutani, Ravi; Shakher, Chandra

doi:10.1117/12.2317714

Cited by 3 publications

(2 citation statements)

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“…The popularity of the technique, in optical metrology, is by virtue of the several advantages it offers such as: it is a non-contact/ invasive type technique; it provides full-field of view information; it is faster in operation as almost real-time observations can be obtained; investigations on largesize objects can be observed with the use of proper optics, and the technique is less sensitive to environmental perturbations in comparison with its counterparts. The DSPI technique has proven its capability in many investigations, e.g., for the measurement of displacement/deformation with variable sensitivity to in-plane and out-of-plane direction [22][23][24][25][26][27], measurement of three-dimensional shape [28][29][30], surface roughness measurement [31], vibration measurement/monitoring [32][33][34], measurement of material properties [35][36][37], flow visualization [38,39], measurement of refractive index and temperature distribution [40][41][42], and the investigation of the magnetic fields on the temperature profile of gaseous flames [43,44]. A Doctoral Thesis describing the comprehensive study of DSPI and some of its novel investigations is recommended for interested readers working in this field [48].…”

Section: Digital Speckle Pattern Interferometry (Dspi)mentioning

confidence: 99%

Fringe Pattern Analysis in Wavelet Domain

Tounsi¹,

Ghlaifan²,

Kumar³

et al. 2019

Holographic Materials and Applications

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We present a full-field technique for single fringe pattern analysis based on wavelet transform. Wavelets technique is a powerful method that quantifies at different scales how spatial energy is distributed. In the wavelets domain, fringe pattern analysis requires spatial modulation by a high-frequency carrier. We realize the modulation process numerically by combining the fringe pattern and its quadrature generated analytically by spiral phase transform. The first application concerns the speckle denoising by thresholding the two-dimensional stationary wavelet transform (2D-swt) coefficients of the detail sub-bands. In the second application, the phase derivatives are estimated from the 1D-continuous wavelet transform (1D-cwt) and 2D-cwt analysis of the modulated fringe pattern by extracting the extremum scales from the localized spatial frequencies. In the third application, the phase derivatives distribution is evaluated from the modulated fringe pattern by the maximum ridge of the 2D-cwt coefficients. The final application concerns the evaluation of the optical phase map using two-dimensional discrete wavelet transform (2D-dwt) decomposition of the modulated fringe pattern. The optical phase is computed as the arctangent function of the ratio between the detail components (high-frequency sub-bands) and the approximation components (low-frequency sub-bands). The performance of these methods is tested on numerical simulations and experimental fringes.Keywords: continuous wavelets transform (cwt), stationary wavelets transform (swt), discrete wavelets transform (dwt), fringe pattern analysis, residual speckle denoising Fringe Pattern Analysis in Wavelet Domain DOI: http://dx.doi.org/10.5772/intechopen.87943 Fringe Pattern Analysis in Wavelet Domain DOI: http://dx.doi.org/10.5772/intechopen.87943 Fringe Pattern Analysis in Wavelet Domain DOI: http://dx.

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Section: Digital Speckle Pattern Interferometry (Dspi)mentioning

confidence: 99%

Fringe Pattern Analysis in Wavelet Domain

Tounsi¹,

Ghlaifan²,

Kumar³

et al. 2019

Holographic Materials and Applications

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“…For measuring deformation, the digital speckle interferometry testing technique is used for images. By using this technique, information about object deformation can be obtained by measuring the phase changes of the speckle pattern before and after deformation 1 . When this technology is applied to some specific situations, such as dynamic environment detection, strain detection of bio materials and many more, there is so much noise interference that it cannot play a good role in this measurement method 2 .…”

Section: Introductionmentioning

confidence: 99%

A filtering scheme for phase map of active tissue interface strain based on adaptive variational mode decomposition

Khan

Zhong

Chen

et al. 2022

Seventeenth National Conference on Laser Technology and Optoelectronics

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In this paper, a phase denoised digital speckle pattern interferometry (DSPI) method based on improved variational mode decomposition (IVMD) is proposed to reduce the noise interference in DSPI phase maps. The first step is to decompose the DSPI phase map using the IVMD method and obtain the optimal mode components. Then, an adaptively mode threshold method is proposed for processing the mode components based on the characteristics of the mode components. To obtain the denoised DSPI phase map, the denoised mode components are reconstructed. The results demonstrate that the proposed method is effective in filtering out noise interference and the peak signal-to-noise ratio (PSNR) is higher than that of other denoised methods.

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Speckle denoising techniques in imaging systems

Kumar

Tounsi

Kaur³

et al. 2020

J. Opt.

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In digital coherent imaging and measurement systems, the image/fringe pattern quality is severely degraded by multiplicative uncorrelated noise, called speckle, resulting due to the coherent nature of the light source, which restricts the development of several applications of these systems in various fields. Digital holography, holographic interferometry, speckle metrology, and shearography are the most revealing non-invasive imaging and measurement tools in many areas including scientific, engineering, biomedical, and industrial applications. However, the presence of undesired speckle noise in the processed image/phase distribution may lead to ambiguity in the observation or analysis of the associated physical parameters, and thus, limit their applications in many fields. To overcome this problem, a variety of algorithms/methods/techniques have been developed to eliminate the inherent speckle-noise introduced in the images/phase distribution obtained from these systems, depending on the requirement and the understanding of the noise characteristics. The speckle denoising is the pre-processing step in these systems and their performance determines the accuracy of the measurand physical parameter. This review article aims to cover some important state-of-art speckle denoising algorithms. For the purpose of demonstration, the performance and comprehensive study of these algorithms are evaluated on simulation and experimental data.

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Deformation measurements in cortical bone-miniscrew interface in human maxilla by using digital speckle pattern interferometry

Cited by 3 publications

References 0 publications

Fringe Pattern Analysis in Wavelet Domain

Fringe Pattern Analysis in Wavelet Domain

A filtering scheme for phase map of active tissue interface strain based on adaptive variational mode decomposition

Speckle denoising techniques in imaging systems

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