Evaluation of the temperature pattern of a complex body from thermal imaging and 3D information: A method and its MATLAB implementation
| Autor: | Arianna Pesci, Giordano Teza |
|---|---|
| Přispěvatelé: | Teza G., Pesci A. |
| Rok vydání: | 2019 |
| Předmět: |
Thermal imaging
Computer science Acoustics Point cloud 02 engineering and technology 01 natural sciences 010309 optics Position (vector) 0103 physical sciences Thermal Damage recognition Emissivity MATLAB computer.programming_language 3D thermography Pixel In situ measurement 021001 nanoscience & nanotechnology Condensed Matter Physics Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Radiometric JPEG image Face (geometry) Thermography 0210 nano-technology computer |
| Zdroj: | Infrared Physics & Technology. 96:228-237 |
| ISSN: | 1350-4495 |
| DOI: | 10.1016/j.infrared.2018.11.029 |
| Popis: | The standard setting of a camera used in Infrared thermography (IRT) is based on the choice of the same values of emissivity and distance for all pixels of a thermal image even if the emissivity depends on the relative position of camera and observed surface. Often this is not a problem. However, the resulting temperature pattern could be inadequate if a body having a complex shape is observed from strongly constrained positions. In order to face this issue, a procedure aimed at providing a correct temperature pattern by using 3D information related to a point cloud is proposed together with its MATLAB implementation (COMAP3 toolbox). For each pixel of a thermal image, the relative position of camera and observed surface is estimated, leading to pixel-specific values of emissivity and distance. The temperature obtained in this way is also mapped onto the point cloud. The effectiveness of the procedure in recognizing areas characterized by peculiar thermal behavior is shown in the case of a historic cylindrical masonry bell tower (Caorle’s bell tower, Venice, Italy). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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