| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Habib, Anowarul
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Topics
Publications (10/10 displayed)
- 2024Probabilistic impact localization in composites using wavelet scattering transform and multi-output Gaussian process regressioncitations
- 2023Image inpainting in acoustic microscopycitations
- 2023Image denoising in acoustic microscopy using block-matching and 4D filtercitations
- 2023Uncertainty Quantification in Acoustic Impedance of Atlantic Salmon Fish Scale using Scanning Acoustic Microscopy
- 2023Automated tilt compensation in acoustic microscopycitations
- 2022Image denoising in acoustic field microscopy
- 2020Evaluation of adhesive-free focused high-frequency PVDF copolymer transducers fabricated on spherical cavities
- 2018Nonlocal damage mechanics for quantification of health for piezoelectric sensorcitations
- 2018High frequency copolymer ultrasonic transducer array of size-effective elements
- 2013Ultrasonic characterization and defect detection in piezoelectric materials
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article
Automated tilt compensation in acoustic microscopy
Abstract
Scanning acoustic microscopy (SAM) is a potent and nondestructive technique capable of producing three-dimensional topographic and tomographic images of specimens. This is achieved by measuring the differences in time of flight (ToF) of acoustic signals emitted from various regions of the sample. The measurement accuracy of SAM strongly depends on the ToF measurement, which is affected by tilt in either the scanning stage or the sample stage. Hence, compensating for the ToF shift resulting from sample tilt is imperative for obtaining precise topographic and tomographic profiles of the samples in a SAM. In the present work, we propose an automated tilt compensation in ToF of acoustic signal based on proposed curve fitting method. Unlike the conventional method, the proposed approach does not demand manually choosing three separate coordinate points from SAM's time domain data. The effectiveness of the proposed curve fitting method is demonstrated by compensating time shifts in ToF data of a coin due to the presence of tilt. The method is implemented for the correction of different amounts of tilt in the coin corresponding to angles 6.67°, 12.65° and 15.95°. It is observed that the present method can perform time offset correction in the time domain data of SAM with an accuracy of 45 arcsec. The experimental results confirm the effectiveness of the suggested tilt compensation technique in SAM, indicating its potential for future applications.