The Frequency-Domain Algorithm for Ultrasonic Imaging of Complex-Shaped Objects
| Parent link: | Key Engineering Materials: Scientific Journal Vol. 769 : High Technology: Research and Applications (HTRA 2017).— 2018.— [262-268] |
|---|---|
| Hovedforfatter: | |
| Institution som forfatter: | |
| Andre forfattere: | , |
| Summary: | Title screen The algorithms based on Synthetic Aperture Focusing Technique are aimed at the determination of the imageries of the flaws in controlled objects. Ultrasonic imaging of complex-shaped objects requires specific algorithms which are able to take into account the complicated character of ultrasonic waves propagation. In this article, we suggested the novel frequency-domain algorithm for ultrasonic imaging of complex-shaped objects. This algorithm is based on Phase -shift migration theory and Stolt transform. The evaluation of suggested technique was done by the application of raw ultrasonic data which was obtained by using computer simulations. Derived results show that proposed algorithm is able to make accurate and precise imaging of flaws in complex-shaped objects. Режим доступа: по договору с организацией-держателем ресурса |
| Udgivet: |
2018
|
| Fag: | |
| Online adgang: | https://doi.org/10.4028/www.scientific.net/KEM.769.262 |
| Format: | Electronisk Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=658649 |
| Summary: | Title screen The algorithms based on Synthetic Aperture Focusing Technique are aimed at the determination of the imageries of the flaws in controlled objects. Ultrasonic imaging of complex-shaped objects requires specific algorithms which are able to take into account the complicated character of ultrasonic waves propagation. In this article, we suggested the novel frequency-domain algorithm for ultrasonic imaging of complex-shaped objects. This algorithm is based on Phase -shift migration theory and Stolt transform. The evaluation of suggested technique was done by the application of raw ultrasonic data which was obtained by using computer simulations. Derived results show that proposed algorithm is able to make accurate and precise imaging of flaws in complex-shaped objects. Режим доступа: по договору с организацией-держателем ресурса |
|---|---|
| DOI: | 10.4028/www.scientific.net/KEM.769.262 |