Fire image fuzzy membership identification method based on grey comprehensive correlation degree

The invention relates to the technical field of fire image processing, in particular to a fire image fuzzy membership identification method based on grey comprehensive correlation, which comprises the following steps of: 1, reading an image to be detected and a conventional image, extracting a color cast factor from the conventional image, judging the type of the conventional image, and simultaneously determining a corresponding threshold value; 2, performing Roman-Loov reference rule optimization and interval valuation operator data optimization on the color cast factor variance of the to-be-detected image and the conventional image, performing normalization preprocessing on the data, and generating a color cast factor vector of the to-be-detected image and a color cast factor vector of the conventional image at the same time; 3, according to a relative correlation degree solving method, a proximity correlation degree solving method and a least square grey correlation degree solving method, solving a compreh