Ultrasound Anomaly Detection Based on Variational Autoencoders

Analysis of ultrasonic testing (UT) data is a time-consuming assignment. In order to make it less demanding we propose an approach based on a variational autoencoder (VAE) to filter out the scans without anomalies/defects and in doing so, partially automate the procedure. The implemented approach us...

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Veröffentlicht in:	2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA) S. 225 - 229
Hauptverfasser:	Milkovic, Fran, Filipovic, Branimir, Subasic, Marko, Petkovic, Tomislav, Loncaric, Sven, Budimir, Marko
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 13.09.2021
Schlagworte:	Acoustics Anomaly detection computer vision deep learning Image coding Image reconstruction Signal processing Testing Ultrasonic imaging ultrasonic testing variational autoencoder
ISSN:	1849-2266
Online-Zugang:	Volltext
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