The paper assesses the effectiveness of sharpness metrics for monitoring the cleanliness of in-line thermographic systems and enabling self-diagnosis, in order to prevent degradation of metrologic performance and increase of measurement uncertainty. When optical measurement systems are installed in harsh industrial environments, external contaminants may compromise their operation conditions. Various types of dust may settle on the lens or protective window, deteriorating the quality of the generated signal.

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

[1] Vittoria Medici, "Thermal Images with different amount of contaminats on the lens", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/s9he-yx37. Accessed: Apr. 24, 2025.
@data{s9he-yx37-24,
doi = {10.21227/s9he-yx37},
url = {http://dx.doi.org/10.21227/s9he-yx37},
author = {Vittoria Medici },
publisher = {IEEE Dataport},
title = {Thermal Images with different amount of contaminats on the lens},
year = {2024} }
TY - DATA
T1 - Thermal Images with different amount of contaminats on the lens
AU - Vittoria Medici
PY - 2024
PB - IEEE Dataport
UR - 10.21227/s9he-yx37
ER -
Vittoria Medici. (2024). Thermal Images with different amount of contaminats on the lens. IEEE Dataport. http://dx.doi.org/10.21227/s9he-yx37
Vittoria Medici, 2024. Thermal Images with different amount of contaminats on the lens. Available at: http://dx.doi.org/10.21227/s9he-yx37.
Vittoria Medici. (2024). "Thermal Images with different amount of contaminats on the lens." Web.
1. Vittoria Medici. Thermal Images with different amount of contaminats on the lens [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/s9he-yx37
Vittoria Medici. "Thermal Images with different amount of contaminats on the lens." doi: 10.21227/s9he-yx37