Rectifying the emissivity variations problem caused by pigments in artworks inspected by infrared thermography: A simple, useful, effective, and optimized approach for the cultural heritage field

Moradi, Morteza; Сфарра, Стефано

doi:10.1016/j.infrared.2021.103718

Cited by 10 publications

(12 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the values of 𝜏 𝑤𝑎𝑡 and 𝜌 𝑤𝑎𝑡 are insignificant and can be neglected. Equation ( 5) can be further simplified to equation (10):…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Inhomogeneous emission might cause misleading temperature changes and false alarms during defect detection, especially for subsurface defects [9] . This issue is further complicated by the low emissivity and high reflectivity of metal surfaces [10] . Matvienko stated that the water layer has a high emissivity and infrared absorption coefficient [11] .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Influence of water film on subsurface defect detection using eddy current pulsed thermography

Liu

Gao

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Eddy current pulsed thermography (ECPT) is an effective non-destructive testing (NDT) technique for detecting flaws in metallic materials. However, due to the low radiation and high reflection properties of metallic materials, as well as the inhomogeneous emission caused by the complex states of the material surface, the detection of subsurface defects becomes difficult. In this paper, the physical mechanisms underlying the interference of the thin water film in ECPT detection are studied. Two static comparative experiments have been carried out on the ferromagnetic plate with several artificial subsurface defects. In the first comparative experiment, a high radiation point has been artificially added near the defects. The experimental results showed that water film could eliminate the influence of inhomogeneous emission. In the second experiments, the effectiveness of water film in improving the detectability of subsurface defects has been demonstrated and the subsurface defects with a maximum buried depth of 0.4 mm can be detected.

show abstract

“…Therefore, the values of 𝜏 𝑤𝑎𝑡 and 𝜌 𝑤𝑎𝑡 are insignificant and can be neglected. Equation ( 5) can be further simplified to equation (10):…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of water film on subsurface defect detection using eddy current pulsed thermography

Liu

Gao

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…Such a temperature increase with respect to the initial object temperature did not damage the painting under test, and it was considered the maximum ∆ T allowed. This precautionary value changes case by case; e.g., in [ 53 ], using halogen lamps, a ∆ T of 17 °C was used without seeing—in the course of time—evident signs of pigment degradation/discoloration.…”

Section: Pt And/or Passive Irt Applicationsmentioning

confidence: 99%

Thermographic Imaging in Cultural Heritage: A Short Review

Dritsa

Orazi

Yao

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

Over the recent period, there has been an increasing interest in the use of pulsed infrared thermography (PT) for the non-destructive evaluation of Cultural Heritage (CH). Unlike other techniques that are commonly employed in the same field, PT enables the depth-resolved detection of different kinds of subsurface features, thus providing helpful information for both scholars and restorers. Due to this reason, several research activities are currently underway to further improve the PT effectiveness. In this manuscript, the specific use of PT for the analysis of three different types of CH, namely documentary materials, panel paintings–marquetery, and mosaics, will be reviewed. In the latter case, i.e., mosaics, passive thermography combined with ground penetrating radar (GPR) and digital microscopy (DM) have also been deepened, considering their suitability in the open field. Such items have been selected because they are characterized by quite distinct physical and structural properties and, therefore, different PT (and, in some cases, verification) approaches have been employed for their investigations.

show abstract

“…However, in the field of cultural heritage, only one specimen is available, notably for paintings which have a particular fabrication as well as pigment pattern and materials. Furthermore, because of the variation in emissivity throughout the canvas’ surface, the pigment variance over its surface causes erroneous recorded thermal maps [ 4 ].…”

Section: Background On Irt In Cultural Heritage and Irt Using Aimentioning

confidence: 99%

“…Thermal non-destructive testing is a smart option to inspect cultural heritage objects since surface and subsurface defects can be detected by exploiting the 3D diffusion inside the object induced by external radiation [ 2 , 3 ]. However, a painting surface is one of the challenging items for infrared thermography (IRT) [ 4 ] as an NDT method because the pigments composing the colors cause variations in the emissivity of the surface, which is the most important coefficient in the emitted radiation energy and Stefan–Boltzmann law [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

A Spatiotemporal Deep Neural Network Useful for Defect Identification and Reconstruction of Artworks Using Infrared Thermography

Moradi

Ghorbani

Сфарра

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

Assessment of cultural heritage assets is now extremely important all around the world. Non-destructive inspection is essential for preserving the integrity of artworks while avoiding the loss of any precious materials that make them up. The use of Infrared Thermography is an interesting concept since surface and subsurface faults can be discovered by utilizing the 3D diffusion inside the object caused by external heat. The primary goal of this research is to detect defects in artworks, which is one of the most important tasks in the restoration of mural paintings. To this end, machine learning and deep learning techniques are effective tools that should be employed properly in accordance with the experiment’s nature and the collected data. Considering both the temporal and spatial perspectives of step-heating thermography, a spatiotemporal deep neural network is developed for defect identification in a mock-up reproducing an artwork. The results are then compared with those of other conventional algorithms, demonstrating that the proposed approach outperforms the others.

show abstract

Rectifying the emissivity variations problem caused by pigments in artworks inspected by infrared thermography: A simple, useful, effective, and optimized approach for the cultural heritage field

Cited by 10 publications

References 34 publications

Influence of water film on subsurface defect detection using eddy current pulsed thermography

Influence of water film on subsurface defect detection using eddy current pulsed thermography

Thermographic Imaging in Cultural Heritage: A Short Review

A Spatiotemporal Deep Neural Network Useful for Defect Identification and Reconstruction of Artworks Using Infrared Thermography

Contact Info

Product

Resources

About