1. An image learning method comprising: performing a segmentation operation on a first image having annotations to segment the first image into one or more image regions; extracting image feature vectors and text feature vectors from all the image regions to obtain an image feature matrix and a text feature matrix; projecting the image feature matrix and the text feature matrix into a sub-space so as to maximize covariance between an image feature and a text feature, thereby obtaining the projected image feature matrix and the text feature matrix; storing the projected image feature matrix and the text feature matrix; establishing first links between the image regions based on the projected image feature matrix; establishing second links between the first image and the image regions based on a result of the segmentation operation; establishing third links between the first image and the annotations based on the first image having the annotations; establishing fourth links between the annotations based on the projected text feature matrix; calculating weights of all the links; and obtaining a graph showing a triangular relationship between the first image, the image regions, and the annotations based on all the links and the weights of the links corresponding to the links.