On extended depth of field to improve the quality of automated thermographic measurements in unknown environments

Soldan, Samuel

doi:10.1080/17686733.2012.738110

Cited by 10 publications

(7 citation statements)

References 16 publications

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“…In order to determine the effect of the lack of sharpness of the registered thermogram on the ϑ t value, the thermograms taken were analyzed by means of selected sharpness measures. It was decided to use simple measures of sharpness which employ the properties of the registered thermogram [33][34][35][36]. Measures that use transforms were not used [37][38][39].…”

Section: Measures Of Sharpnessmentioning

confidence: 99%

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Lack of Thermogram Sharpness as Component of Thermographic Temperature Measurement Uncertainty Budget

Dziarski

Hulewicz

Dombek

2021

Sensors

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The number of components of a thermographic temperature measurement uncertainty budget and their ultimate contribution depend on the conditions in which the measurement is performed. The acquired data determine the accuracy with which the uncertainty component is estimated. Unfortunately, when some factors have to be taken into account, it is difficult to determine the value of the uncertainty component caused by the occurrence of this factor. In the case of a thermographic temperature measurement, such a factor is the lack of sharpness of the registered thermogram. This problem intensifies when an additional macro lens must be used. Therefore, it is decided to commence research to prepare an uncertainty budget of thermographic measurement with an additional macro lens based on the B method described in EA-4/02 (European Accreditation publications). As a result, the contribution of factors in the uncertainty budget of thermographic measurement with additional macro lens and the value of expanded uncertainty were obtained.

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Section: Measures Of Sharpnessmentioning

confidence: 99%

“…Spatial frequency is not a new measure of sharpness but a modified version of the sharpness measure using the energy of the gradient (EOG). SF can be defined by the following Equations ( 7)-( 9) [33,36]:…”

Section: Measures Of Sharpnessmentioning

confidence: 99%

Lack of Thermogram Sharpness as Component of Thermographic Temperature Measurement Uncertainty Budget

Dziarski

Hulewicz

Dombek

2021

Sensors

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“…Research and development continue to push the thermogram analysis approaches for improvements in the resolution and sensitivity, as well as in the pixel uniformity and operability. For example, Soldan [52] proposed a new solution for getting an all-in-focus measurement. His work comprised of taking a measurement series with changed focal settings and then combining the sharp parts using digital image processing.…”

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confidence: 99%

Review of Active IR Thermography for Detection and Characterization of Defects in Reinforced Concrete

2016

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Active thermography methods enable structural investigations of reinforced concrete elements taking into account many different testing problems. The goal of this review is to provide an overview on the state-of-the-art regarding the use of active infrared thermography (IRT) for detection and characterization of defects in reinforced concrete. The paper will provide the physical background, equipment being used, as well as post-processing methods that are used to analyse sequences of thermograms. This work also presents the fields of applicability of IRT with a focus on the aspects related to reinforced concrete structures, as well as the advantages, limitations and potential sources of errors of IRT employment. Additionally previous non-destructive testing (NDT) studies that employed thermography techniques with natural excitation are briefly presented. A review of the future trends of thermal imaging are also included in this work. It can be concluded that while IRT is a useful tool for the characterisation of defects in the building sector, there is great prospect for the development of more advanced, effective and accurate approaches that will employ a combination of thermography approaches.

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“…Along with the increase in blurring of edges of these areas, the observer begins to perceive the observed thermogram as out of focus. The sharpness of thermogram can be adjusted by changing the distance d [2] and changing the α [3]. As a result, the change in these two values affects the blurring of edges on the observed thermogram, and thus the thermogram sharpness assessment.…”

Section: Sharpness Of the Thermogram Recordedmentioning

confidence: 99%

Effect of unsharpness on the result of thermovision diagnostics of electronic components

Dziarski¹,

Hulewicz²

2020

Proceedings of the 2020 International Conference on Quantitative InfraRed Thermography

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This work presents the effect of thermogram unsharpness on the result of thermovision temperature measurement. Thermograms have been made using the thermal imaging camera operating in Long-Wave Infrared bandwidth, fitted with macro lens. The element, temperature of which was measured was the 2.3 mm x 2.1 mm temperature sensor placed in a housing for through-hole installation. The sharpness of thermograms was determined using the selected measures. The determined sharpness of thermograms was verified through comparing with responses of one hundred and seven respondents. The relationship was described between the thermogram sharpness and the value of absolute thermovision temperature measurement error.

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On extended depth of field to improve the quality of automated thermographic measurements in unknown environments

Cited by 10 publications

References 16 publications

Lack of Thermogram Sharpness as Component of Thermographic Temperature Measurement Uncertainty Budget

Lack of Thermogram Sharpness as Component of Thermographic Temperature Measurement Uncertainty Budget

Review of Active IR Thermography for Detection and Characterization of Defects in Reinforced Concrete

Effect of unsharpness on the result of thermovision diagnostics of electronic components

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