Image processing and vision for the study and the modeling of spreading fires

Abstract

This paper presents a work conducted in the field of image processing and computer vision in order to measure geometrical characteristics of spreading fires; this allows understanding the phenomenon occurring during the propagation and improving and/or validating mathematical models by comparing experimental data with numerical ones. In order to develop a metrological system based on vision for wildland fires, it is necessary to solve scientific locks that are also presented in this paper.