Experimental image dataset for validation of the noise-induced bias that affects Digital Image Correlation

Antonio Baldi
Conceptualization
;
Pietro Maria Santucci
Writing – Original Draft Preparation
;
Filippo Bertolino
Validation
2022

Abstract

The present article shares with the scientific community several image sets used for experimentally validating the noiseinduced bias on different Digital Image Correlation (DIC) formulations, as reported in Baldi et al. [1]. These sets are provided with a description of the experimental setup used for image acquisition. The basic idea is to acquire a series of images obtained by rigidly translating the target, where incremental displacement is of the order of a small fraction of a pixel. This condition requires a high-precision control of the target position through the tests. Moreover, the noise content of each image set is modulated using a statistical approach that uncouples the intensity field from the standard deviation. Lastly, the images are acquired with different exposure conditions to analyze the gray tone gradient effect on noise-induced bias.
Inglese
42
108156
1
7
7
Esperti anonimi
internazionale
scientifica
Digital Image Correlation; Noise-Induced Bias; High Precision Positioning; Interferometric Measurement
no
Baldi, Antonio; Santucci, PIETRO MARIA; Bertolino, Filippo
1.1 Articolo in rivista
info:eu-repo/semantics/article
1 Contributo su Rivista::1.1 Articolo in rivista
262
3
open
File in questo prodotto:
File Dimensione Formato  
Experimental image dataset for validation of the noise-induced bias that affects Digital Image Correlation_2022.pdf

accesso aperto

Descrizione: articolo online
Tipologia: versione editoriale
Dimensione 775.37 kB
Formato Adobe PDF
775.37 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Questionario e social

Condividi su:
Impostazioni cookie