A Lightweight DFT-Based Approach to the Optical Measurement of Displacements Using an Open-Source Python Code

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F22%3A00350947" target="_blank" >RIV/68407700:21110/22:00350947 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/s40799-021-00488-8" target="_blank" >https://doi.org/10.1007/s40799-021-00488-8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s40799-021-00488-8" target="_blank" >10.1007/s40799-021-00488-8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Lightweight DFT-Based Approach to the Optical Measurement of Displacements Using an Open-Source Python Code

Popis výsledku v původním jazyce

Commonly available digital image correlation (DIC) tools are designed to evaluate displacement/deformation fields using well-optimized correlation functions and computational procedures. However, real-time monitoring at high sampling rates or tracking motion at predefined locations from large sequence images can be hardly accomplished due to extreme computational costs. As shown in this paper, a lightweight approach based on the registration of subpixel subset shifts using discrete Fourier transform (DFT) can easily tackle large sets of images if the measurement is limited to discrete locations. A simple open-source python software designed for evaluation of displacements using virtual extensometers is described in this paper, along with the analysis of its performance. It is shown that the DFT-based algorithms outperform a commonly used DIC package in terms of computational efficiency and required user interactions, without sacrificing precision and accuracy.

Název v anglickém jazyce

A Lightweight DFT-Based Approach to the Optical Measurement of Displacements Using an Open-Source Python Code

Popis výsledku anglicky

Commonly available digital image correlation (DIC) tools are designed to evaluate displacement/deformation fields using well-optimized correlation functions and computational procedures. However, real-time monitoring at high sampling rates or tracking motion at predefined locations from large sequence images can be hardly accomplished due to extreme computational costs. As shown in this paper, a lightweight approach based on the registration of subpixel subset shifts using discrete Fourier transform (DFT) can easily tackle large sets of images if the measurement is limited to discrete locations. A simple open-source python software designed for evaluation of displacements using virtual extensometers is described in this paper, along with the analysis of its performance. It is shown that the DFT-based algorithms outperform a commonly used DIC package in terms of computational efficiency and required user interactions, without sacrificing precision and accuracy.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA19-20666S" target="_blank" >GA19-20666S: Smrštěním vyvozené deformace a mikrotrhliny v konstrukčním betonu - monitoring, modelování a identifikace</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Experimental Techniques

ISSN

0732-8818

e-ISSN

1747-1567

Svazek periodika

46

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

12

Strana od-do

485-496

Kód UT WoS článku

000673889000001

EID výsledku v databázi Scopus

2-s2.0-85110163481