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Pixel-wise in situ calibration method for high accuracy infrared thermography of moving targets

Schweikert, Kai ; Sielaff, Axel ; Stephan, Peter (2021)
Pixel-wise in situ calibration method for high accuracy infrared thermography of moving targets.
In: Infrared Physics & Technology
doi: 10.1016/j.infrared.2021.103862
Article, Bibliographie

Abstract

We present a calibration method for the measurement of temperature using infrared cameras that enables high-accuracy thermography of moving targets with locally varying emissivity. Correlation-based image matching techniques are applied to calculate position-dependent calibration functions with sub-pixel accuracy. The calibration method is described in detail and demonstrated using an experimental setup consisting of a rotating cube. The measurement uncertainty is analysed in comparison to a conventional pixel-wise in situ method used for non-moving measurements. An analysis is carried out for varying levels of sub-pixel resolution and within different regions of the field of view. The results show that the measurement uncertainty decreases with increasing sub-pixel resolution and is comparable to levels obtained with a pixel-wise in situ calibration applied on a non-moving target. The error introduced by the motion of the sample was reduced by 75 on a high emissivity surface and by 96 within an area of the field of view, which experienced significant emissivity changes due to the motion of the sample.

Item Type: Article
Erschienen: 2021
Creators: Schweikert, Kai ; Sielaff, Axel ; Stephan, Peter
Type of entry: Bibliographie
Title: Pixel-wise in situ calibration method for high accuracy infrared thermography of moving targets
Language: English
Date: 10 August 2021
Publisher: Elsevier
Journal or Publication Title: Infrared Physics & Technology
DOI: 10.1016/j.infrared.2021.103862
URL / URN: https://www.sciencedirect.com/science/article/pii/S135044952...
Abstract:

We present a calibration method for the measurement of temperature using infrared cameras that enables high-accuracy thermography of moving targets with locally varying emissivity. Correlation-based image matching techniques are applied to calculate position-dependent calibration functions with sub-pixel accuracy. The calibration method is described in detail and demonstrated using an experimental setup consisting of a rotating cube. The measurement uncertainty is analysed in comparison to a conventional pixel-wise in situ method used for non-moving measurements. An analysis is carried out for varying levels of sub-pixel resolution and within different regions of the field of view. The results show that the measurement uncertainty decreases with increasing sub-pixel resolution and is comparable to levels obtained with a pixel-wise in situ calibration applied on a non-moving target. The error introduced by the motion of the sample was reduced by 75 on a high emissivity surface and by 96 within an area of the field of view, which experienced significant emissivity changes due to the motion of the sample.

Uncontrolled Keywords: infrared thermography, thermal imaging, calibration, in situ, moving object
Additional Information:

Art.No.: 103862

Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute for Technical Thermodynamics (TTD)
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1194: Interaction between Transport and Wetting Processes
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1194: Interaction between Transport and Wetting Processes > Research Area A: Generic Experiments
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1194: Interaction between Transport and Wetting Processes > Research Area A: Generic Experiments > A01: Forced Wetting and De-Wetting on Complex Surfaces – Generic Configuration Immersed Body
Date Deposited: 20 Aug 2021 09:47
Last Modified: 30 Nov 2023 09:11
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