Experimental and Numerical Methods for Exact Subpixel Shifting

Reu, Phillip L.

doi:10.1007/s11340-010-9417-4

Cited by 93 publications

(76 citation statements)

References 13 publications

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Section: Testing the Methods Of Speckle Pattern Correlationmentioning

confidence: 99%

“…In [23] a method for producing high-precision experimentally subpixel shifted images has been created. The author [23] produced a set of speckle patterns shifted with a step of 0.1 pixels. There are available two sets of speckle patterns with high and low contrast [24] which are used in the current work for determining the accuracy of the algorithm.…”

Section: Testing the Methods Of Speckle Pattern Correlationmentioning

confidence: 99%

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Speckle pattern processing by digital image correlation

Gubarev

Klenovskii

et al. 2016

MATEC Web of Conferences

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Abstract. Testing the method of speckle pattern processing based on the digital image correlation is carried out in the current work. Three the most widely used formulas of the correlation coefficient are tested. To determine the accuracy of the speckle pattern processing, test speckle patterns with known displacement are used. The optimal size of a speckle pattern template used for determination of correlation and corresponding the speckle pattern displacement is also considered in the work.

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Section: Testing the Methods Of Speckle Pattern Correlationmentioning

confidence: 99%

Section: Testing the Methods Of Speckle Pattern Correlationmentioning

confidence: 99%

Speckle pattern processing by digital image correlation

Gubarev

Klenovskii

et al. 2016

MATEC Web of Conferences

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“…In particular, the rigid motion of the structure is simulated by phase shifting the Fourier Transform of the image of the target in equilibrium position [26]. Simultaneously motion blur is generated using the averaging algorithm [27].…”

Section: Simulating Image Formationmentioning

confidence: 99%

Uncertainty in vision based modal analysis: probabilistic studies and experimental validation

Lavatelli

Zappa

2016

ACTA IMEKO

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This paper analyses the issues related with the application of photogrammetric methods in the context of modal analysis. In this field of mechanical testing, the vibrations of the measurand are monitored. The possibility to measure displacement of several monitored points without directly instrumenting those, pushes the interest toward the application of an image based measurement system. However, the process of acquiring a moving target with a camera is complex due to the motion blur phenomenon. The effects of this particular phenomenon on uncertainty generation and propagation are discussed in parallel with Monte Carlo simulation and experimental approach. The case study here proposed focuses on the estimation of the main modal parameters (first two resonant frequencies and amplitudes) of a structure with the help of 2D Blob Analysis, with particular focus in comparing the performances of photogrammetry with the ones of classic motion transducers. The results of both the approaches confirm that the choice of using photogrammetry as an input for modal analysis should be made carefully, since the actual behavior of a structure can be distorted. Nonetheless, the results show that particular care should be made in the choice of structural excitation when using vision based techniques.

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“…In this particular case, stereoscopic images are captured at a frame rate of 5 fps during the heating, sagging and bubble inflation phase and correlated in the 3D module of the academic correlation software MatchID (http://www.matchid.org). This software was benchmarked to the results of commercial systems [10] and it was found that for the bias, MatchID is in an identical range as VIC (Correlated Solutions (http://www.correlatedsolutions.com)) whereas an improved lower standard deviation by a factor of four was achieved. The correlation results in a full field displacement and strain map.…”

Section: Digital Image Correlation In Thermoformingmentioning

confidence: 99%

Improvements in thermoforming simulation by use of 3D digital image correlation

Mieghem¹,

Desplentere²,

Bael³

et al. 2015

Express Polym. Lett.

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Abstract. Numerical simulation tools for the thermoforming of unfilled thermoplastic polymers already exist for a while, but are seldom used to full extent in industry. When it is used, it is mostly only for comparative studies and prediction of relative wall thickness. One of the major reasons is the difficulty to correctly calibrate and integrate all necessary material and process parameters into the simulation software. This paper introduces and validates a methodology, in which digital image correlation (DIC) is used as the key enabling technology that improves the knowledge of the process parameters and optimizes simulation accuracy by taking away a number of uncertainties and assumptions. DIC in combination with infrared thermal measurements and pressure monitoring is used to track sheet sagging and bubble inflation of a HIPS sheet, the two main process steps in the thermoforming of positive (male) products or the only two steps in the case of free forming. The results of these in-situ measurements are used as a guideline for selecting the correct input parameters in the commercial thermoforming simulation software T-SIM ® . A similar methodology can be further implemented for subsequent process steps such as forming and cooling or even to validate the material data used in the simulation software.

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Experimental and Numerical Methods for Exact Subpixel Shifting

Cited by 93 publications

References 13 publications

Speckle pattern processing by digital image correlation

Speckle pattern processing by digital image correlation

Uncertainty in vision based modal analysis: probabilistic studies and experimental validation

Improvements in thermoforming simulation by use of 3D digital image correlation

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