High-definition, high sampling rate image sequences collected in experiments in an optically accessible engine are first processed to identify the flame front, and then analyzed by an optical flow estimation technique. The velocity magnitude on the flame front has an ECDF well fitted by a Rayleigh probability distribution with a single scalar parameter. The proposed non-intrusive method provides a fast statistical characterization of the flame propagation phenomenon in the engine combustion chamber.

This presentation is part of Minisymposium “MS53 - Dimensionality Reduction Algorithms for Large-Scale Images (2 parts)”
organized by: Salvatore Cuomo (Dept. Mathematics and Applications "Renato Caccioppoli", University of Naples) , Costantinos Siettos (National Technical University of Athens ) , Lucia Russo (Consiglio Nazionale delle Ricerche, Istituto di Ricerche sulla Combustione) .

Authors:

Gaetano Continillo (University of Sannio, Benevento)

Simone Lombardi (Università degli Studi del Sannio)

Paolo Sementa (Istituto Motori, Consiglio Nazionale delle Ricerche)

Bianca Maria Vaglievo (Istituto Motori, Consiglio Nazionale delle Ricerche)

Keywords:

image reconstruction, image representation