A Novel Spatio-Temporal Frequency-Domain Imaging Technique for Two-Layer Materials Using Ultrasonic Arrays
| Autor: | Shahram Shahbazpanahi, Nasim Moallemi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
General Computer Science
Computer science Acoustics 02 engineering and technology 01 natural sciences immersion ultrasonic imaging symbols.namesake Region of interest 0103 physical sciences Distributed source 0202 electrical engineering electronic engineering information engineering General Materials Science array signal processing Data model (GIS) 010301 acoustics multi-layer imaging Scattering General Engineering non-destructive testing 020206 networking & telecommunications Fourier transform Frequency domain Path (graph theory) symbols Ultrasonic sensor lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 6, Pp 8977-8989 (2018) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2018.2801842 |
| Popis: | Ultrasonic imaging of multi-layer materials with parallel interfaces is a challenging problem in non-destructive testing. In multi-layer materials, since the sound velocity and the propagation path change when sound travels from one layer into another, calculating the sound travel time is complicated. In this paper, we develop a frequency-domain imaging algorithm for estimating the scattering coefficients of all the points inside the second layer of a two-layer (liquid-solid) medium in order to obtain an image of the region of interest. To do so, we first introduce our data model for the array received signals by modeling the interfaces between the layers of a two-layer medium as a spatially distributed source. Then, we introduce a mapping relationship between the two-dimensional image of the region of interest and the three-dimensional Fourier transform of the received signals. This proposed algorithm has relatively lower computational complexity and it can be used for online imaging. Computer simulations as well as experimental data show the accuracy of the proposed algorithm. |
| Databáze: | OpenAIRE |
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