Paper
1 April 2019 Evaluating the shadow or glare effects in thermography for non-destructive testing and evaluation
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Abstract
Infrared thermography (IRT) is a matured tool, and it can be employed to monitor the health conditions of structures by measuring surface temperature information in real time and in a non-contact way. The surface temperature information provides an important clue to identifying the defects on the building exterior surfaces. According to the surface temperature measurements, for those parts covered by shadows, the surface temperature information is smaller than it is supposed to be. Similarly, glare effects in IRT can be defined as the excessive and uncontrolled brightness illustrated in IRT such that the surface temperature information is larger than it is supposed to be. In general, the shadow and glare effects are often introduced in the thermal images obtained using the passive IRT when the solar energy is the main heat source. The current study proposes an image model in a multiplicative way to evaluate the shadow and glare effects presented in IRT. The experimental results demonstrate that the proposed image model does efficiently remove the shadow or glare effects. A calibrated thermograph can be generated by introducing proper level set functions in the numerical model.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yishuo Huang, Chih-Hung Chiang, and Keng-Tsang Hsu "Evaluating the shadow or glare effects in thermography for non-destructive testing and evaluation", Proc. SPIE 10971, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII, 1097113 (1 April 2019); https://doi.org/10.1117/12.2514175
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Cited by 1 scholarly publication.
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KEYWORDS
Thermography

Image segmentation

Infrared imaging

Infrared radiation

Thermal modeling

Nondestructive evaluation

Digital imaging

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