Naslov
Synthetic 3D Ultrasonic Scan Generation Using Optical Flow and Generative Adversarial Networks

Autori
Posilovic, Luka ; Medak, Duje ; Subasic, Marko ; Petkovic, Tomislav ; Budimir, Marko ; Loncaric, Sven

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA) / - : Institute of Electrical and Electronics Engineers (IEEE), 2021, 213-218

Skup
12th International Symposium on Image and Signal Processing and Analysis (ISPA 2021)

Mjesto i datum
Zagreb, Hrvatska, 13.09.2021. - 15.09.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
image processing ; image generation ; optical flow ; generative adversarial networks ; ultrasonic imaging ; nondestructive evaluation

Sažetak
Non-destructive ultrasonic analysis of materials is a method for assessing the integrity of the inspected components. It is commonly used in monitoring critical parts of the power plants, in aeronautics, oil and gas, and the automotive industry. Since most ultrasonic inspections rely on expert's previous experience they must constantly practice on new, unseen data. Acquiring enough data for training human experts on non- destructive ultrasonic scan analysis can be an expensive and time-consuming task. The only possibility to get new data for practicing is to implant synthetic defects in real metal blocks. Artificial defects are made by temperature strain, electrical discharge, and physical damage. All of those methods are very complicated and expensive to perform. Also metal blocks have to be taken from the components of the power plants to have the same structure and be realistic. In this work, some attempts have been made to generate 3D ultrasonic scans using computer vision and deep learning methods.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA