Self-adaptive Canny aircraft skin infrared image edge detection method based on FFWA

The invention discloses a self-adaptive Canny aircraft skin infrared image edge detection method based on FFWA. The method comprises the following steps: acquiring an aircraft skin damage infrared image; denoising the image; solving a gradient value and a maximum gradient matrix; performing non-maximum suppression on the maximum gradient matrix; solving a maximum between-class variance, and optimizing the maximum between-class variance by using a fast fireworks algorithm to obtain an optimal segmentation threshold value; and carrying out double-threshold division on the image to finally obtain an edge detection image and the like. The method has the advantages that the double thresholds of the Canny algorithm are calculated through the Otsu method, manual preset errors are avoided, the Canny algorithm has self-adaptability, the image edge detection effect is better and more accurate, and therefore the method is more suitable for actual operation. Compared with a traditional firework algorithm, the improved fa