Abstract
The implementation of the image processing techniques for the analysis of the thermal field images captured with infrared scanners from the shield of the rotary kilns increase the quality of the information required for the optimization, monitoring and failure prevention of the kiln. In this work, authors presented a method that implement advanced algorithms such as the Radon transform, the segmentation and labeling of images for estimating the space-distributed, parametric model of the kiln's thermal field. The aim of the investigation is analyzing the similarities/differences between the thermal profile of the kiln and the kiln's maintenance events. The implementation of the proposed method proved that the correlations between the changes of the thermal profile and the renewal of the thermal coating of the kiln may be well emphasized. In this perspective, this method is suitable for building a thermal profile of the kiln during an entire maintenance time span.

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