Applying the modified adaptive window sizes into the image segmentation to identify defects from thermal infrared images covered with intensity inhomogeneity
Abstract:Thermal infrared images have been widely employed to detect defections. However, it is challenging to identify the defects from thermal infrared images contaminated by shadows, noise, etc. Those factors do be recorded in the thermal infrared images such that the recorded pixels not only contain the surface temperatures but also have the impacts from the factors. Those factors illustrated in the recorded pixels can be called intensity inhomogeneity. Several researchers have reported that the multiplicative way … Show more
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