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This paper presents recently developed a multispectral system for measuring and calculation the chosen radiation parameters of the steel slag for the investigation of FeO content. The system contains 2 infrared (IR) and 2 visual (CCD) cameras. IR cameras capture images in MWIR and LWIR spectral ranges. The visual broad band optical system acquires the images in NIR and visual (RGB) subbands. The short band pass optical filters are used in visual spectral range. CCD RGB camera is used to select the proper wavelength bands in the visual range. The main objective of the research is to define different thermal and optical parameters of the steel slag stream for further image classification and FeO content estimation.

The temperature rise of the hand palm has been measured with infrared thermography under the influence of an external infrared radiation source. The temperature rises could be very well fitted to exponential function, so that the experimental data could be summarized with just two parameters: amplitude and time constant. A simple mathematical model has been set up to explain the experimentally observed phenomena. It was found that the blood perfusion is essential to explain the results. From our measurements, which is essentially a noninvasive technique, several parameters could be found, the numerical values of which, agree with data found in the literature.