Firing particles detection based on adaptive fuzzy local threshold in sequence images

A method of detecting firing particles in sequence images is proposed in this paper. The features of the firing particles in sequence images are analyzed and described in fuzzy linguistic variable. Adaptive fuzzy local thresholds are determinated to detect the moving objects. Image information fusion techniques are applied to reduce noise particles also. This method is feasible and satisfied with experiment results.