The invention discloses an individualized
color vision modeling method, which is based on the
hypothesis of'
color vision fuzzy
ellipse ', firstly, modeling the color
perception difference of an individual into a Markov fuzzy region around a reference color point, and extracting a main axis direction as a
perception insensitive axis. By constructing an interactive
perception evaluation task, recognizable critical responses of a user to different color paths are collected, and a plurality of
mahalanobis distance matrixes are fitted according to the recognizable critical responses. And solving an intersection region in the main axis direction of all fuzzy ellipses by adopting a
linear programming or geometric constraint optimization
algorithm, and taking the intersection region as a core sensing coordinate of a user
color vision structure. The method has the advantages of being noninvasive, easy to operate, high in adaptability and the like, perception differences of normal individuals and color vision abnormal individuals can be finely distinguished, and a continuous and explainable color vision characterization model is constructed. The method has high fitting precision for color
weakness users, can effectively support practical applications such as image recoloring, personalized display adjustment and color vision training, and has wide clinical assistance and intelligent
interaction potential.