Infrared thermography (IRT) is a matured tool, and it can be employed to monitor the health conditions of structures bymeasuring surface temperature information in real time and in a non-contact way. The surface temperature informationprovides an important clue to identifying the defects on the building exterior surfaces. According to the surfacetemperature measurements, for those parts covered by shadows, the surface temperature information is smaller than it issupposed to be. Similarly, glare effects in IRT can be defined as the excessive and uncontrolled brightness illustrated inIRT such that the surface temperature information is larger than it is supposed to be. In general, the shadow and glareeffects are often introduced in the thermal images obtained using the passive IRT when the solar energy is the main heatsource. The current study proposes an image model in a multiplicative way to evaluate the shadow and glare effectspresented in IRT. The experimental results demonstrate that the proposed image model does efficiently remove theshadow or glare effects. A calibrated thermograph can be generated by introducing proper level set functions in thenumerical model.
展开▼
