A cellular neural networks approach to flame image analysis for combustion monitoring

Proposes an approach based on cellular neural networks (CNNs) to the analysis of flame images for real time monitoring of combustion process in a waste incinerator. The use of CNNs analysis is dictated by the high images sampling rate, which was necessary due to the fast dynamics of the process under study. The dynamical behavior of the descriptors of the images processed by the CNNs was also studied and the results of this analysis are also presented.