Abstract: In order to realize the classification of oxidant in the fire scene based on video images, the characteristics of the combustion flame were analyzed. In this paper, according to the unique combustion phenomena of gasoline and anhydrous ethanol, combined with the flame video image recognition algorithm, the flame recognition of gasoline and anhydrous ethanol is well realized. First, the suspected flame area can splited based on the grayscale threshold of the image, then its H, S, I color components and area change features are calculated; and the wavelet high-frequency energy features and LBP histogram features of the combustion image are extracted; finally, the feature vector is entered into the SVM classifier for classification and recognition. Experiments show that the classification accuracy of SVM for gasoline and anhydrous ethanol combustion flames is as high as 98.5%, this method can better distinguish the combustion flames of gasoline and anhydrous ethanol.

Key words: gasoline, anhydrous ethanol, wavelet high frequency energy, LBP Histogram