Use of advanced thermographic signal processing techniques to improve the subsurface damage detection in concrete columns under varying solar exposure

Pozzer, Sandra; Rosa, Francisco Dalla; Pravia, Zacarias Martin Chamberlain; López, Fernando; Maldague, Xavier

doi:10.1117/12.2619241

Cited by 2 publications

(1 citation statement)

References 30 publications

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“…Studies over the past two decades have provided significant information on the treatment of IRT image, 6 processing of sequential thermal images for dimension reduction, [7][8][9][10][11] image registration, [12][13][14] subsurface delamination detection in concrete structures using IRT inspection 5,[15][16][17] and infrared image sequence analysis. [18][19][20][21] For data acquisition, there is one ASTM standard 22 that provides recommendations for subsurface delamination detection using IRT cameras and single image acquisition, although the standard is framed solely for the inspection of bridge decks with a camera mounted on a car. Much of the research and recommendations up to now either contemplate the singular acquisition performed with favorable environmental conditions or consider the sequential analysis assuming that the sequence is already adjusted and assembled in perfect alignment.…”

Section: Introductionmentioning

confidence: 99%

End-to-end processing of passive thermography sequences from outdoor concrete infrastructure inspection

Pozzer

Ebrahimi

Refai

et al. 2023

Thermosense: Thermal Infrared Applications XLV

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This study developed an end-to-end procedure to overcome common issues faced during the analysis of passive infrared thermography (IRT) sequences from outdoor concrete infrastructures. The processing pipeline includes the automatic pre-processing of raw thermograms, data cleaning and organization, image adjustment, and sequential image registration. One image registration method was implemented, and the results were evaluated using the Euclidean distance metric. Furthermore, the resulting sequences were processed using signal processing techniques to increase the detectability of the defects. The results from outdoor IRT surveys over two academic samples are presented, where one image per minute was taken for 24 hours on slabs and columns representative structures. By addressing the difficulties encountered during the analysis of passive IRT sequences, our contribution can broaden the spectrum of the application of IRT for the condition assessment of concrete infrastructure.

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