White spot grading method based on melanin volume content distribution pattern

The invention belongs to the field of image analysis and processing, and particularly relates to a white spot grading method based on a melanin volume content distribution pattern. The method comprises the following steps that a hyperspectral image of skin in a target area is collected, color matching is conducted through an algorithm and data, then the hyperspectral image is presented in an image mode, and a skin white spot area is in a basin shape and is divided into three areas including a white spot area, a transition area and a pelvic floor area on the whole; a straight line is drawn across the white spot area and penetrates through the white spot center area, and the two ends of the straight line are basically symmetrical; the melanin content of each pixel on the straight line is extracted, and a melanin content change curve corresponding to the section of the basin is formed; based on melanin basin section characteristics, melanin loss conditions of white spots are divided into four stages, namely slig