Literature DB >> 33467205

Evaluation of the Size-of-Source Effect in Thermal Imaging Cameras.

Igor Pušnik1, Gregor Geršak1.   

Abstract

In numerous applications, including current body temperature monitoring in viral pandemic management, thermal imaging cameras are used for quantitative measurements. These require determination of the measurement accuracy (error) and its traceability (measurement uncertainty). Within error estimation, the size-of-source effect (SSE) is an important error source. The SSE is the relation between the physical size of a target and the instrument's nominal target size. This study presents a direct evaluation of the error due to the SSE. A stable and uniform temperature, generated by blackbodies, was measured by a high-quality thermal imager. To limit the generated radiation, custom-made blocking tiles with different apertures were used. Effects of aperture shapes and positions, camera-target distances and temperature levels on the error were investigated. The study findings suggest that due to the SSE the measured temperatures are too low, especially at longer camera-target distances. The SSE error depends on the number of pixels available and included into the region of interest, for which the accurate measurement is about to be performed. For an accurate temperature measurement, an array of at least 10 × 10 pixels should be exposed to the observed target radiation, while 3 × 3 central pixel area should be included in the temperature calculation.

Entities:  

Keywords:  ROI; SSE; accuracy; region of interest; size-of-source effect; temperature; thermal imaging camera

Year:  2021        PMID: 33467205      PMCID: PMC7830533          DOI: 10.3390/s21020607

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Quantitative traceable temperature measurement using novel thermal imaging camera.

Authors:  Matthew J Hobbs; Chengxi Zhu; Matthew P Grainger; Chee Hing Tan; Jon R Willmott
Journal:  Opt Express       Date:  2018-09-17       Impact factor: 3.894

2.  Thermal Imager Range: Predictions, Expectations, and Reality.

Authors:  Dragana Perić; Branko Livada; Miroslav Perić; Saša Vujić
Journal:  Sensors (Basel)       Date:  2019-07-28       Impact factor: 3.576

  3 in total
  2 in total

Review 1.  Thermography for disease detection in livestock: A scoping review.

Authors:  Rosemary McManus; Lisa A Boden; William Weir; Lorenzo Viora; Robert Barker; Yunhyong Kim; Pauline McBride; Shufan Yang
Journal:  Front Vet Sci       Date:  2022-08-09

2.  Palm Temperature Differences after Static and Dynamic Load on High Bar.

Authors:  Karmen Šibanc; Ivan Čuk; Maja Pajek; Igor Pušnik
Journal:  Sensors (Basel)       Date:  2021-06-30       Impact factor: 3.576

  2 in total

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